
Application of Big Data, Blockchain, and Internet of Things for Education Informatization
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The 99 revised full papers and 45 short papers have been selected from 503 submissions. The papers describe research fields such as "big data" and "information education". The aim of the conference is to provide international cooperation and exchange platforms for big data and information education experts, scholars and enterprise developers to share research results, discuss existing problems and challenges, and explore cutting-edge science and technology.
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Content
- Intro
- Preface
- Organization
- Contents - Part II
- Contents - Part I
- Applications of Big Data and Cloud Computing
- Research on the Development Direction of Computer Software Testing Methods in the Era of Big Data
- 1 Introduction
- 2 Challenges of Software Testing in the Era of Big Data
- 2.1 Oracle Problems Become More and More Prominent
- 2.2 The Traditional Test Platform Cannot Meet the Needs of Big Data Processing
- 3 Development of Software Testing in the Era of Big Data
- 3.1 Adjust and Optimize Oracle Memory Area
- 3.2 Regularly Defragment the Database
- 3.3 Improve the Accuracy of Software Test Data
- 4 Artificial Intelligence
- 5 Computer Network Technology
- 6 Advantages of Artificial Intelligence in Computer Network Technology in the Era of Big Data
- 7 The Specific Application of Artificial Intelligence in Computer Network Technology in the Era of Big Data
- 8 Conclusions
- References
- A Study on the Construction of Behavioral Medicine ESP Corpus Resources in the Context of Big Data
- 1 Introduction
- 2 Investigation on the Current Situation of ESP Teaching in Medical Vocational Colleges
- 3 Analysis of ESP Teaching Problems and Causes in Medical Vocational Colleges
- 3.1 The Curriculum is not Scientific Enough
- 3.2 Attribution of ESP Teaching Problems
- 4 Strategies of ESP Teaching Reform in Medical Vocational Colleges
- 4.1 Overall Promotion and Local Implementation
- 4.2 Training Design
- 4.3 Training Classification
- 5 Conclusion
- References
- A Study on the Measurement of POI Data in Shandong Urban Governance Under Big Data
- 1 Meta Governance Concept
- 2 Quantitative Identification of Urban Functional Areas Based on POI Data
- 3 Basic Conception of Public Participation in Urban Planning from the Perspective of Meta Governance
- 3.1 Guiding Ideology of Public Participation in Urban Planning System
- 3.2 The Principle of Constructing the System of Public Participation in Urban Planning
- 4 Countermeasures of Public Participation in Urban Planning from the Perspective of Meta Governance
- 4.1 Improve the System of Public Participation in Urban and Rural Planning
- 4.2 Improve Urban Planning and Other Related Systems
- 5 Conclusion and Prospect
- References
- A Study on the Sustainable Participation Behavior of MOOC Learning Educators in the Context of Big Data
- 1 Introduction
- 2 Introduction
- 3 Definition of Core Concepts
- 3.1 Participate in
- 3.2 Types of Learner Participation
- 4 Research Results and Conclusions
- 5 Conclusion
- References
- Analysis and Design of Human Resource Management Model of Retail Enterprises Under the Background of Big Data
- 1 Introduction
- 2 System Analysis
- 2.1 Functional Requirements of the System
- 2.2 Data Requirements of the System
- 2.3 Database and Programming Selection of the System
- 3 Design and Implementation of the System
- 3.1 Overall Structure of the System
- 3.2 Functional Module Structure of the System
- 4 Key Technologies of the System
- 5 System Maintenance and Safety
- 5.1 User Management Mark and Identification
- 5.2 Access Control
- 6 Conclusion
- References
- Analysis and Research on Application of Data Mining Algorithm Technology in E-Commerce Platform
- 1 Introduction
- 2 Overview of Data Mining Technology
- 3 E-Commerce Recommendation System
- 3.1 E-Commerce Push Technology
- 3.2 Application of NEB Data Mining Technology in E-Commerce
- 4 Application of Data Mining Technology in E-Commerce
- 4.1 E-Finance
- 4.2 Customer Relationship Management
- 4.3 E-Commerce Marketing
- 4.4 Business Data Analysis
- 5 Concluding Remarks
- References
- Analysis and Research on the Development of Illustration Design Under the Background of Data Analysis
- 1 Introduction
- 2 Artistic Expression of Artificial Intelligence
- 3 Practical Application of Artificial Intelligence in Art
- 4 Conclusion
- References
- Analysis of Big Data's Influence on the Development of Chinese Language and Literature
- 1 Introduction
- 2 Artificial Intelligence and Deep Learning
- 2.1 Overview of Artificial Intelligence
- 2.2 Deep Learning
- 3 The Influence of Network Language on the Development of Chinese Language and Literature
- 3.1 It Disturbs the Normalization Standard of Chinese Language and Literature
- 3.2 It Disturbs the Normal Interpretation of Chinese Language and Literature
- 4 Conclusion
- References
- Auxiliary Design of Oil Painting by Computer Technology Under the Background of Big Data
- 1 Introduction
- 2 The Important Role of Real Emotion in Oil Painting Creation
- 3 The Artistic Expression of Rhythm and Rhythm in the Process of Oil Painting Creation
- 3.1 The Influence of Rhythm and Rhythm in Creation
- 3.2 The Expression form of Rhythm and Rhythm in Artistic Creation
- 4 The Influence of Visual Culture on Contemporary Oil Painting
- 4.1 The Lack of Spiritual Connotation Under the Influence of Mass Consumption Culture
- 4.2 The Confusion of Aesthetic Pursuit and Artistic Standard Under the Background of Visual Culture
- 5 The Penetration of Design Factors into Contemporary Oil Painting Creation
- 5.1 The Penetration of Design Elements in Visual Communication Design into Contemporary Oil Painting Creation
- 5.2 The Penetration of Product Design into Contemporary Oil Painting Creation
- 6 The Infiltration of Multimedia into Contemporary Oil Painting Creation
- 7 Design Factors in the Works of Western Painting Masters
- 7.1 The Relationship Between Animation and Painting
- 7.2 Painting is the Foundation of Animation
- 7.3 Animation has a Unique Painting Style
- 8 Animation Masters' Reference for Artistic Ideas
- 9 Conclusion
- References
- Based on the Big Data Analysis of the Task-Driven Teaching Model of Electronic Circuit CAD Teaching Content Planning
- 1 Introduction
- 2 Research Objective
- 3 The Planning of the Basic Skills Teaching Module of Electrical Schematic Drawing
- 4 PCB Drawing Teaching Module Planning
- 4.1 Main Process
- 4.2 Part II
- 5 Conclusion
- References
- Construction of Management Model of Vocational Education Based on Data Analysis
- 1 Introduction
- 2 The Connotation of Deep Learning
- 3 Building Prediction Model
- 3.1 DEEP LEARNING Network Model Structure
- 3.2 Data Preprocessing
- 3.3 Content of Data Processing
- 4 Matlab Simulation Implementation
- 4.1 Learning Process of DEEP LEARNING
- 4.2 Result Analysis of DEEP LEARNING
- 5 Conclusion
- References
- Construction of Multi-dimensional Dynamic Innovation and Entrepreneurship Platform for College Students Under the Background of Big Data
- 1 Introduction
- 2 Research on Innovation and Entrepreneurship Mechanism of College Students Based on Multidimensional Dynamic Innovation Model
- 3 Research on the Importance of Influencing Factors of College Students' Innovation and Entrepreneurship Based on Multivariate Support Vector Machine
- 4 Data Analysis
- 4.1 College Students Should Take an Active Part in the Practice of Enterprises when they have Spare Time to Learn
- 4.2 First of All, Enterprises and Schools Should Sign a Confidentiality Treaty, so that Enterprises Can Provide Academic Resources for Colleges and Universities
- 4.3 In Order to Improve the Engineering and Pertinence of the Experimental Content, the Actual Project Example is Introduced
- 4.4 Developing Comprehensive Training Programs
- 4.5 Choose Appropriate Enterprise Projects and Teacher Projects
- 4.6 Establish Resource Sharing Platform
- 5 The Historical Evolution of School Enterprise Cooperation in Higher Education
- 5.1 The Background of School Enterprise Cooperation in Higher Education
- 5.2 An Overview of the Development of School Enterprise Cooperation in China's Higher Education
- 6 Theoretical Discussion on the Relationship Between School Enterprise Cooperation and Entrepreneurship Education in Colleges and Universities
- 6.1 The Connotation and Characteristics of Entrepreneurship Education in Colleges and Universities
- 6.2 Analysis of the Mechanism of School Enterprise Cooperation on Entrepreneurship Education in Colleges and Universities
- 6.3 Mechanism of School Enterprise Joint Construction of Entrepreneurship Education Practice Platform
- 7 Conclusion
- References
- Design and Implementation of Innovative Entrepreneurial Experience System for College Students Based on Data Analysis Model
- 1 Introduction
- 2 System Requirement Analysis
- 3 Research on the Importance of Influencing Factors of College Students' Innovation and Entrepreneurship Based on Multivariate Logistic Regression Analysis
- 3.1 Sample Pretreatment
- 3.2 Introducing Nonlinearity by Sigmoid Function
- 4 System Implementation and Test
- 4.1 Design of System Use Case Diagram
- 4.2 System Implementation
- 5 System Software Design
- 5.1 Overall Structure
- 5.2 Data Processing
- 6 Conclusion
- References
- Design and Implementation of Piano Performance Grading System Based on Data Analysis
- 1 Introduction
- 2 Introduction of Related Technologies
- 2.1 Basic Principle of Ant Colony Algorithm
- 2.2 Calculation Method
- 3 Multi Pitch Detection Algorithm Based on Non Negative Matrix Factorization
- 3.1 Introduction of Multi Pitch Detection Algorithm
- 3.2 Form of Expression
- 4 Evaluation Index System and Evaluation Strategy
- 4.1 Main Introduction
- 4.2 Index System
- 4.3 Evaluation Strategy
- 5 Design of Automatic Evaluation System for Works
- 5.1 System Design Objectives and Basic Ideas
- 5.2 System Composition
- 5.3 Design and Implementation of Evaluation System
- 6 Work Summary
- References
- Exploration of Computer-Based Course Teaching in Data Thinking
- 1 Introduction
- 2 Basic Requirements of Computing in English Vocabulary Query System Based on Struts
- 3 The Design of Teaching Mode of Computing Thinking
- 4 Application of Computational Thinking Ability in Basic Computer Course Teaching
- 5 Conclusion
- References
- Research on Convolutional Neural Network Based on Deep Learning Framework in Big Data Education
- 1 Related Concepts of Personalized Recommendation System
- 2 Overview and Structure of Artificial Neural Network and Convolutional Neural Network
- 2.1 Feedforward Back Propagation Algorithm
- 2.2 Convolution Neural Network
- 3 The Construction and Principle of Caffe Deep Learning Framework
- 3.1 Overview of Caffe Deep Learning Framework
- 3.2 The Characteristics of Caffe In-Depth Learning Framework
- 3.3 Training of Convolutional Neural Network Model Based on Caffe
- 4 Conclusion
- References
- Research on Development Status and Innovation Strategy of Broadcasting and Hosting in We Media Era Under Data Mining
- 1 Introduction
- 2 Data Mining Algorithm
- 2.1 Basic Application Algorithm
- 2.2 Classification Method Based on Improved t-df and Bayesian Algorithm
- 3 Enhance the Overall Ability of Network Broadcasting and Hosting
- 4 Strengthen and Improve Their Comprehensive Skills
- 5 The Positive Role of We Media Broadcasting and Hosting
- 5.1 Improve the Credibility of Your Image
- 5.2 Highlight Self Advantages and Show the Charm of Hosting
- 5.3 Promote the Level of Language Expression
- 6 Analysis on the Application of Thinking in the Artistic Creation of Broadcasting and Hosting
- 6.1 The Function of Thinking in Language in the Artistic Creation of Broadcasting and Hosting
- 6.2 "Language Skeleton" Derived from Logical Thinking
- 7 The Proper Way of Thinking in the Artistic Creation of Broadcasting and Hosting
- 7.1 Correctly Understand the Importance of Thinking Ability
- 7.2 Although they have Different Emphases, they Should Not Be Neglected
- 8 Conclusion
- References
- Research on Human Resource Management System Model Based on Big Data Management
- 1 Introduction
- 2 Current Situation of Human Resource Management System
- 3 Cloud Computing for Construction of HRMs Model
- 3.1 System Structure Model
- 3.2 Data Storage and Data Management Technology
- 4 Security Measures of Cloud Computing Human Resource System Model
- 5 Conclusions
- References
- Research on Innovation and Practice of School Mode and Operation Mechanism of Open University Under Big Data Environment
- 1 Introduction
- 2 The Current Situation of Teachers in Large Scale System
- 2.1 Main Development Status in China
- 2.2 All Aspects of the Specific Performance
- 3 The Significance and Basic Characteristics of Teaching Team Construction
- 3.1 The Significance of Teaching Team Building
- 3.2 Basic Characteristics of Teaching Team
- 4 Obstacles to the Construction and Development of Teaching Teams
- 4.1 The Influence of Administrative System
- 4.2 The Influence of Team Members' Cultural Differences
- 4.3 Enhance the Understanding, Strengthen the Construction and Management of Teaching Team
- 5 The Development of Community Education in China
- 6 General Situation of Community Education in China
- 6.1 The Basic Characteristics of Community Education in China
- 6.2 The Basic Management System of Community Education in China
- 7 System Simulation
- 8 Conclusion
- References
- Research on Teaching Reform of New Energy Technology Based on Virtual Reality System
- 1 Introduction
- 2 Problems of New Energy Technology Teaching
- 2.1 Practical Teaching Problem
- 2.2 Assessment Method Problem
- 2.3 Experimental Safety Problem
- 3 The Characteristics of VR Teaching Model
- 3.1 Realistic Practical Operation
- 3.2 Process Assessment with Interaction
- 3.3 Safe Operation Environment
- 4 Design of VR System
- 4.1 Virtual Experiment Module
- 4.2 On-line Communication Module
- 4.3 Quality Evaluation Module
- 4.4 Virtual Classroom Module
- 4.5 Material Database Module
- 5 Overview of Virtual Reality
- 5.1 The Definition of Virtual Reality Technology
- 5.2 Basic Characteristics of Virtual Reality
- 5.3 Classification of Virtual Reality
- 6 Summary
- References
- Research on the Image Tracking of Tennis Rotation Features Under Big Data Analysis
- 1 Introduction
- 2 Design of Image Tracking and Analysis System
- 2.1 Data Processing and Analysis
- 2.2 Analysis of the Disadvantages of Fingertip Dynamic Process
- 3 Experimental Verification
- 3.1 Parameter Setting
- 3.2 Acquisition and Analysis of Experimental Data
- 4 Simulation of Fingertip Tracking Process Based on Image Processing
- 4.1 Introduction of Bayesian Classification Decision
- 4.2 Feature Extraction of Fingertip Detection and Tracking Process
- 5 System Feature Model in the Field of Motion Tracking
- 5.1 Principle Explanation of Motion Characteristic Model
- 5.2 Domain Architecture Approach
- 6 Multi Point Fusion Correlation Tracking Algorithm
- 6.1 Research Status of Correlation Tracking Algorithm
- 6.2 Control Processing Explanation
- 7 Conclusion
- References
- "5 G" Research on System Design of Data Science and Big Data Technology Talent Training in Colleges and Universities
- 1 Introduction
- 2 Related Work
- 3 Relying on the Construction of Data Science and Big Data Technology Specialty in Local Colleges and Universities
- 3.1 Making Training Plan and Exploring Talent Training Mode
- 3.2 Construction of Teaching Staff
- 4 Teaching Research and Reform Simulation Analysis
- 5 Strengthening Practical Teaching
- 6 Mining Subject Words of Data Science Talent Demand
- 6.1 Overview of LDA Model
- 6.2 Topic Number Selection
- 6.3 Subject Term Extraction of Data Science Talent Demand
- 6.4 Overview of word2vec Model
- 6.5 Overview of Visualization Tools
- 7 Conclusions
- References
- Big Data Analysis of the Formative Factors of Text Meaning in Ancient Chinese Literature of Higher Education
- 1 Introduction
- 2 Common Data Mining Algorithms
- 3 The Particularity of Chinese Ancient Literature Text
- 3.1 The Imagery of the Structure of Chinese Characters
- 3.2 The Duality of Written Language
- 4 Research Results
- 4.1 Statistics of Topics
- 4.2 Topic Model Estimation
- 4.3 Topic Preference Estimation
- 4.4 Topic Content Comparison
- 5 The Theory of Text Meaning in Ancient Chinese Literary Theory
- 5.1 "The Distinction Between Words and Meanings"
- 5.2 "Against the Will with the Will"
- 5.3 The Interaction Effect of Topic
- 6 Analysis and Discussion
- 6.1 Topics of Common Concern
- 6.2 Estimation of Country Moderating Effect
- 7 The Generative Factors of the Text Meaning of Ancient Chinese Literature and Simulation Analysis
- 8 Conclusions
- References
- Construction of Practical Teaching Platform for Mobile Communication System Under Big Data
- 1 Introduction
- 2 Construction of Practical Teaching Platform for Mobile Communication System
- 2.1 Software Design of Mobile Communication System Practice Teaching Platform
- 2.2 Open Compound Talents Training
- 3 Realization of Software Platform and Simulation Analysis
- 3.1 Simulation Analysis
- 4 The Design Idea of Practical Teaching System
- 4.1 Construction of Practical Teaching System
- 4.2 Practical Teaching Target System
- 4.3 The Effect of Practice Teaching System
- 5 Conclusion
- References
- Construction of University Students Innovation and Entrepreneurship Resource Database Based on Collaborative Big Data Analysis
- 1 Introduction
- 2 Collaborative Filtering Algorithm
- 3 Sample Sources and Research Methods of Database Construction
- 3.1 Basic Principle of Ant Colony Algorithm
- 3.2 Reform of Talent Training Mode
- 4 Optimize the Teaching Staff of Innovation and Entrepreneurship
- 5 Optimize the Teaching Staff of Innovation and Entrepreneurship
- 6 Demand Analysis of Teaching Resource Database Platform
- 6.1 Feasibility Analysis
- 6.2 System Non Functional Requirement Analysis
- 6.3 User Role Analysis
- 7 The Fourth Chapter is the Overall Design of Teaching Resource Database Platform
- 7.1 Design of Teaching Resource Database Platform
- 7.2 General Design Principles of Teaching Resource Database Platform
- 8 Concluding Remarks
- References
- Cooperative Foreign Language Teaching Model with Data Mining Algorithm
- 1 Introduction
- 1.1 The Connotation of the Practice Teaching Mode of Curriculum Coordination Mechanism
- 1.2 Curriculum System Design
- 2 Introduction of Case Embedded Collaborative Teaching Mode
- 2.1 Collaborative Planning of Curriculum Group
- 2.2 Each Course is Based on Case Study
- 2.3 Similarity Model
- 3 Practical Effect Simulation
- 3.1 The Teaching Effect is Widely Recognized by Students
- 3.2 The Students' Comprehensive Ability to Use Knowledge has Been Improved
- 4 Research Design
- 4.1 Research Questions and Hypotheses
- 4.2 The Maladjustment of the Combination of College English Teaching Elements and Computer Network Environment
- 4.3 The Construction of College English Ecological Teaching Mode Under the Computer Network Environment
- 5 Theoretical Framework
- 5.1 The Theory of Educational Ecology
- 5.2 Basic Concepts of Ecology
- 6 Conclusions
- References
- Data Mining Algorithm in Volleyball Match Technical and Tactical Analysis
- 1 Introduction
- 2 Principle of Data Mining Algorithm Based on Markov Process
- 3 Application Research
- 3.1 Data Acquisition
- 3.2 Data Preprocessing
- 4 Data Classification
- 5 Simulation for Solutions
- 6 The Design and Implementation of the Statistical Analysis System for Volleyball Match
- 6.1 System Design Objectives
- 6.2 System Function Structure Design
- 7 Research on Data Acquisition Solution
- 7.1 Design Idea of Script Description Language
- 7.2 Code Design of Script Description Language
- 7.3 Working Steps of Script Parser
- 8 Conclusions
- References
- Data Mining Technology in Higher Vocational "Double Helix" Hybrid Teaching
- 1 Introduction
- 2 Basic Design Idea
- 3 The Realization of Personalized Learning System Based on Web
- 3.1 Formal Definition of Course Related Association Rules
- 3.2 Framework of Personalized Learning System
- 4 The Effect of Promoting the Reform of the Mixed Teaching Mode in the Third Three Universities
- 4.1 The Reform of Hybrid Teaching Mode Promotes the Transformation from "Teaching" Centered to "Learning" Centered
- 4.2 The Reform of Mixed Teaching Mode Improves Teachers' Teaching Ability
- 4.3 The Reform of Mixed Teaching Mode Improves Students' Enthusiasm for Learning
- 5 Application of Data Mining Technology in Network Teaching
- 5.1 Data Preprocessing of Behavior Analysis
- 5.2 Establishment of Behavior Analysis Model and Application of Results
- 6 Conclusions
- References
- Development of APP Visual Design Under the Background of Big Data
- 1 Introduction
- 2 Big Data Analysis
- 2.1 Definition of Big Data Analysis
- 2.2 Data Visualization
- 2.3 Big Data Storage Technology
- 3 System Function Realization Based on Big Data Mining
- 3.1 Time Series Mining Algorithm
- 4 Construction of Narrative Strategy Model in Visual Communication Design and Simulation
- 5 The Double Attribute of Character Symbol
- 5.1 Linguistic Symbolic Content
- 5.2 Visual Symbol Form
- 6 "Language" Art of Visual Communication
- 6.1 Graphics of Characters
- 6.2 Creating the Schema of "Meaning"
- 7 Conclusion
- References
- Digital Combination Prediction Model for Online English Teaching at the University of Iowa in the Context of Big Data
- 1 Introduction
- 2 Design of Online Teaching Practice Platform
- 2.1 Object Model Design of Online Teaching Practice Platform
- 2.2 Recommended Function Design
- 2.3 Overall Implementation Scheme of the Platform
- 2.4 The Concrete Level Division of Code Realization of Online Teaching Practice Platform
- 3 Conclusion
- References
- Ecological Teaching Mode of College English Based on Cloud Computing Platform
- 1 Introduction
- 2 Design of Online Teaching Practice Platform
- 2.1 Object Model Design of Online Teaching Practice Platform
- 2.2 Recommended Function Design
- 3 Implementation of Online Teaching Practice Platform
- 3.1 Overall Implementation Scheme of the Platform
- 3.2 The Concrete Level Division of Code Realization of Online Teaching Practice Platform with Simulation
- 4 The Teaching Idea Turns from "People Oriented" to "Harmony Oriented"
- 4.1 Interpretation of Ecological Education
- 4.2 People Oriented
- 5 Developing "Dynamic Three-Dimensional" Self-organizing Teaching with Ecological Teaching Form
- 5.1 The Importance of Dynamic Team Teaching
- 5.2 Ecological Teaching Subject "Students, Teachers and Students"
- 5.3 Ecological Teaching Platform, Attaching Equal Importance to "Humanity" and "Technology"
- 6 Conclusion
- References
- On the Application of Data Mining Algorithm in College Student Management
- 1 Introduction
- 2 The General Process of Data Mining
- 2.1 The Role of Data Mining in University Management
- 2.2 The General Process of Data Mining in University Management
- 3 Fuzzy Mining Algorithm
- 3.1 Pattern Discovery
- 3.2 Cluster Algorithm Analysis and Simulation
- 3.3 Forecast
- 4 The Inevitability of Applying Big Data Technology to Student Management
- 5 Application of Big Data Technology in Student Management
- 6 Establishment and Management of Data Warehouse
- 6.1 Data Extraction, Transformation and Loading
- 6.2 Building a Cube
- 7 Application System Analysis and Design
- 7.1 Design Goal
- 7.2 The Architecture of the System
- 7.3 Evaluation of Data Mining Results
- 8 Epilogue
- References
- Research on Dynamic Evaluation of University Collaborative Education System Based on Global Entropy Method Under Big Data
- 1 Introduction
- 2 The Formation of the Concept of Collaborative Innovation
- 3 The Manifestation of Collaborative Innovation Dilemma
- 3.1 The Policy Environment of Collaborative Innovation is not Perfect
- 3.2 It is Difficult to Cooperate in the Process of Collaborative Innovation
- 4 Path Selection of Collaborative Innovation
- 4.1 Define the Orientation of All Parties and Establish a New Flexible Organizational Structure
- 4.2 Pay Equal Attention to Basic Application and Promote the Connection Between Disciplines and Industrial Clusters
- 5 Entropy and Performance of Regional Innovation System
- 5.1 The Concept and Development of Entropy
- 5.2 The Significance of Entropy in RIS Performance Evaluation
- 6 Performance Evaluation Model of Regional Innovation System
- 6.1 Construction of Evaluation Index System
- 6.2 Structural Performance Evaluation Model
- 7 Empirical Analysis on Performance Evaluation of Regional Innovation System and Simulation Analysis
- 7.1 Empirical Analysis
- 7.2 Simulation Analysis
- 8 Conclusions
- References
- Research on Evaluation Mechanism of Innovation and Entrepreneurship Team Management Based on Data Mining Classification
- 1 Introduction
- 2 Data Mining Definition
- 3 Research on Quantitative Performance Appraisal Method Based on Data Mining
- 3.1 Analysis of Assessment Index
- 3.2 Performance Appraisal Grade Evaluation Based on K-means Clustering
- 3.3 Quantitative Performance Evaluation Based on ID3 Decision Tree Algorithm
- 4 Test Results and Simulation Analysis
- 4.1 Test Configuration
- 4.2 Result Analysis
- 5 Theoretical Basis and Concept Definition
- 5.1 The Theory of Team Building
- 5.2 The Theory of Team Management
- 5.3 Group Psychology and Group Behavior Theory
- 6 Research Conclusions and Suggestions
- 6.1 Members of Innovation and Entrepreneurship Team Lack Practical Experience, But They Have High Interest in Innovation and Entrepreneurship
- 6.2 Countermeasures and Suggestions
- 7 Conclusion
- References
- Research on Hybrid Teaching Pattern Design in Applied Colleges and Universities Under the Background of Big Data
- 1 Introduction
- 2 Related Concepts and Theoretical Basis
- 2.1 Definition of Related Concepts
- 2.2 Relevant Theoretical Basis
- 3 The Construction of Teaching Mode
- 3.1 Analysis of Typical Teaching Mode
- 3.2 Improvement After Class
- 4 Sakai Based E-learning Space
- 4.1 Analysis of Saka Concept
- 4.2 The Current Situation of Usage and Popularization in China
- 5 The Design of Three Mixed Teaching Mode
- 6 Concluding Remarks
- References
- Research on the Application of Big Data Analysis Auxiliary System in Swimming Training
- 1 Introduction
- 2 Application of Computer Aided System in Swimming Teaching and Training
- 2.1 Composition and Concept of Computer Aided System
- 2.2 Hardware Equipment Required by Computer Aided System
- 3 The Basic Theory of the Auxiliary Software for Monitoring the Load of Sports Training
- 3.1 The Basic Theory of the Auxiliary Software for Monitoring the Load of Sports Training
- 3.2 Establishment of Swimming Training Load Monitoring Auxiliary Software Monitoring System
- 4 Design and Application of Swimming Training Load Monitoring Assistant Software
- 5 Conclusion
- References
- Research on the Development Model System of "Integration of Industry and Education" in Colleges and Universities Based on Cloud Computing
- 1 Introduction
- 2 The Impact of Cloud Computing on Higher Education
- 2.1 The Internet Promotes the Rise and Development of Open Education Resource Movement
- 2.2 Internet is an Ideal Way to Realize the Integration of Production and Education in Higher Education
- 2.3 Internet Promotes the Innovation of Teaching Mode in Colleges and Universities
- 3 Based on Apriori Algorithm
- 4 Reform Strategy of Industry Education Integration Education Mode in Colleges and Universities Under the Condition of Cloud Computing
- 4.1 Actively Promote the Comprehensive Application of Information Technology in Teaching Practice
- 4.2 We Should Choose the Best and Organize Network Resources Seriously
- 4.3 Innovating Incentive Mechanism and Strengthening the Construction of Teaching Team
- 4.4 Innovating the Management System of Private Higher Education
- 5 Judgment on Symbiosis Phenomenon of "Going Out" of School Enterprise Cooperation in the Integration of Industry and Education
- 5.1 University Foreign Investment Collaboration
- 5.2 The Cultivation of Talents in Colleges and Universities
- 6 Characteristics of Industry Education Cooperation Between Universities and Foreign Investment Enterprises
- 6.1 The Overall Development is Positive, the Participation of All Parties is Unbalanced, and the Ecosystem in the Symbiotic System is Single
- 6.2 The Modes are Diversified in Form and Degree, and the Profits of All Parties are Asymmetric, Tending to Integration
- 6.3 The Symbiotic Environment has Changed, the Reactions of All Parties are Inconsistent, and it is Evolving for a Period of Time in the Process of Adjustment
- 7 Conclusions
- References
- Research on the Improvement of Learning Effect of Mental Health Education Curriculum Based on Big Data
- 1 Introduction
- 2 Introduction and Application of Data Mining Algorithm
- 3 Principle of C4.5 Algorithm
- 3.1 Principle of C4.5 Algorithm
- 3.2 Application of C4.5 Algorithm
- 4 Data Preprocessing
- 4.1 Data Cleaning
- 4.2 Data Extraction
- 4.3 Data Conversion
- 4.4 Building Decision Tree
- 5 Enhance the Understanding of College Students on the Course of Mental Health Education
- 6 Building a Strong Team of Mental Health Education Teachers
- 7 Establishing an Integrated Curriculum System of College Students' Mental Health
- 7.1 Effective Coordination of the Relationship Between Mental Health Education Curriculum and Psychological Counseling
- 7.2 Optimizing the Relationship Between Mental Health Education and Moral Education Curriculum
- 7.3 Perfect the Relationship Between Mental Health and Ideological and Political Education
- 8 Carrying Out Teaching Reform and Innovating Teaching Mode
- 8.1 Case Study Method
- 8.2 Action Training Method
- 9 Concluding Remarks
- References
- Research on the Integrated Development Model of Rural Tourism and E-commerce Under the Background of Big Data
- 1 Introduction
- 2 The Importance of "Tourism E-commerce+" in the Integration of Rural Tourism and Targeted Poverty Alleviation
- 2.1 It is Helpful to Realize the Deep Promotion of Rural Tourism
- 2.2 It Helps to Realize the Deep Marketing of Rural Tourism
- 3 Suggestions on Integration of Rural Tourism and Targeted Poverty Alleviation Under the Background of "Tourism E-commerce+"
- 3.1 Change the Existing Misconception, and Promote the Deep Combination of Rural Tourism and Targeted Poverty Alleviation
- 3.2 "Tourism E-commerce+" Should Play "Experience Card" Widely in Rural Tourism Work
- 4 Data Mining Technology
- 4.1 Basic Concepts of Data Mining
- 5 Application of Data Mining Technology in Intrusion Detection
- 6 Research on Fuzzy C-means Algorithm
- 6.1 The Principle of Fuzzy C-means Algorithm
- 6.2 Improvement of Fuzzy C-means Algorithm
- 7 The Integration Development Strategy of Rural Tourism and E-commerce in China
- 7.1 Analysis of the Problems in the Integration of Rural Tourism and E-commerce in China
- 7.2 Simulation for Rural Tourism and E-commerce in China
- 8 Conclusion
- References
- System Design and Development of Logistics Management Talents Training Program in Colleges and Universities Under the Background of Big Data
- 1 Introduction
- 2 Current Situation of Logistics Talents' Ability and Quality Demand
- 3 On the Construction of the System Design and Development of Talent Training Program
- 3.1 Establishing the Training Plan Oriented by Professional Ability
- 3.2 Improve the Construction Quality of Training Base Inside and Outside the School to Meet the Needs of Practical Teaching
- 4 Design and Development of the Construction Path of "Professional + Entrepreneurial" Mode
- 4.1 Jointly Study and Discuss to Determine Talent Training Objectives and Specifications
- 4.2 Joint Development of Modular Curriculum
- 5 Suggestions on the Cultivation of Logistics Talents in China
- 5.1 We Should Create a "Soft Environment" for the Development of Logistics and Form a Correct Understanding of "Logistics"
- 5.2 Training Logistics Talents Through Various Ways
- 5.3 Set Up the Correct Goal of Logistics Personnel Training
- 6 Training Logistics Talents Through Vocational Training
- 6.1 Improve Quality
- 6.2 Unify the Qualification Certification of Posts and Improve the Training System of Logistics Talents
- 6.3 Carry Out Special Research on Logistics Education to Promote the Cultivation of Logistics Talents
- 7 Concluding Remarks
- References
- Teaching Analysis of Digital Marketing Mode Under the Influence of Big Data
- 1 Introduction
- 2 Big Data and Network Marketing Mode
- 2.1 Big Data
- 2.2 Analysis of Big Data Density Peak Clustering Algorithm
- 3 Research on Network Marketing Mode Under Big Data
- 3.1 Product Association Mining Marketing
- 3.2 Social Network Marketing of Big Data
- 3.3 Big Data User Behavior Analysis Marketing
- 3.4 Personalized Recommendation Marketing of Big Data
- 3.5 Big Data Analysis Marketing of Modern Communication
- 4 Micro Blog Marketing Case Analysis Based on Big Data
- 5 BF Network Marketing Strategy and Planning in the Era of Big Data
- 5.1 Marketing Strategy of BF Network in the Era of Big Data
- 5.2 The Marketing Mode of "Media + Activities"
- 5.3 The Marketing Mode of "Media + Service"
- 6 Marketing Mode of Brand Promotion
- 7 Conclusion
- References
- The Application of Big Data Analysis in Model of Financial Accounting Talents in Colleges and Universities
- 1 Introduction
- 2 Journals Reviewed
- 2.1 Training to Meet the Needs of Society
- 2.2 Construction of Victory Characteristic Model
- 3 Analysis on the Current Situation of Talent Cultivation in Colleges and Universities
- 3.1 On the Particularity of the Cultivation of Talents' Competence in Colleges and Universities
- 3.2 Country's Educational Circles have Ignored the Cultivation
- 4 The Cultivation of Creativity and Innovative Spirit of Talents in Colleges and Universities
- 4.1 The Talents Cultivated in Higher Education Should be Creative Senior Professionals. The High School of the People's Republic of China
- 4.2 The Key to the Future of the Family and the Rise and Fall of the Nation
- 5 Analysis on the Characteristics of College Students' Creativity
- 5.1 The Results Show that the Personality Characteristics of College Students' Inventors are the Main Factors
- 5.2 College Students are in the Period of Study, They Can Not Be Asked to Make Earth Shaking Creation
- 6 Concluding Remarks
- References
- The Development of Intelligent Technology in Preschool Education Strategy
- 1 The Current Situation of Preschool Education
- 2 Problems in the Development of Preschool Education
- 3 Countermeasures to the Problems in the Development of Preschool Education
- 3.1 Promote the Development of Preschool Education Institutions
- 3.2 Guide the Whole Society to Establish a Correct Awareness of Preschool Education
- 3.3 Improving the Teaching System of Preschool Education
- 3.4 Improving Teachers' Professional Quality
- 4 Application of Artificial Intelligence in Preschool Education
- 5 Reform of Preschool Education in China
- 6 Application Trend of Artificial Intelligence in Preschool Education
- 6.1 Application of Artificial Intelligence in Preschool General Education
- 6.2 The Application Direction of Artificial Intelligence in Preschool Education
- 7 Problems in the Application of Artificial Intelligence in Preschool Education
- 8 Conclusion
- References
- Application of Open Source Data Mining Software Weka in Marketing Teaching
- 1 Introduction
- 2 Data Mining Weka
- 2.1 Open Source Software WEAK
- 2.2 Definition and Research Significance of Software Defect Prediction
- 2.3 Data Mining Software Weka
- 3 Software Defect Prediction Method
- 3.1 Software Defect Prediction Process
- 3.2 Metric Meta Design
- 3.3 Construction and Application of Defect Prediction Model
- 4 Analysis Method of Curriculum Relevance
- 5 Application of Open Source Software Weka in Marketing Teaching
- 6 Teaching Objectives and Contents
- 7 Teaching Evaluation and Assessment
- 7.1 Machine Learning
- 7.2 All Aspects of the Course
- 8 Conclusions
- References
- Data Mining for Quality Analysis of College English Teaching
- 1 Introduction
- 2 Experimental Design
- 2.1 Object and Purpose of the Experiment
- 2.2 Experimental Methods
- 2.3 Sample Characteristics
- 3 Elements Affecting the Quality of College English Teaching
- 4 Practical Application of Data Mining Technology in Quality Analysis of College English Teaching
- 5 Summary
- References
- Exploration and Practice of University Students Health Education Promotion Model Under Big Data Information
- 1 Introduction
- 2 Proposed Work
- 2.1 Personalized Recommendation Information Transmission
- 2.2 Significance and Characteristics of Health Education for College Students
- 2.3 Ways to Promote Health Education
- 2.4 Teaching
- 2.5 Lecture
- 3 Opportunities and Challenges of College Students' Mental Health Education in the Era of Big Data
- 3.1 Challenges
- 3.2 Four in One, Improve the Guarantee Mechanism of College Students' Mental Health Education
- 4 Adaptation and Innovation of College Students' Mental Health Education in the Era of Big Data
- 4.1 Concept First, Set Up the Data Consciousness of College Students' Mental Health Education
- 4.2 Conform to the Trend and Innovate the Research Paradigm of College Students' Mental Health Education
- 5 Effect of Health Education
- 6 Conclusion
- References
- Research on Management Mechanism of Higher Education Based on Big Data Analysis
- 1 Introduction
- 2 Confidence K-means Clustering Algorithm for Structure Recognition of Confidence Rule Base
- 2.1 Belief Rule Reasoning
- 2.2 Advantages of Belief Rule Reasoning
- 3 Application Pattern and Structure Recognition of Belief Rule Reasoning
- 3.1 Confidence Rule Base Process
- 3.2 Structure Recognition of Confidence Rule Base
- 4 Quality Assurance System of Higher Education
- 4.1 Improving the Quality of University Education
- 4.2 Management Mechanism Adopted Abroad
- 5 Total Quality Management Mechanism of Higher Education
- 5.1 On the Quality of Higher Education
- 5.2 Adopt the Management Method of Full Participation
- 6 Conclusion
- References
- Research on Teaching Reform of College Chinese Based on Data Analysis
- 1 Introduction
- 2 Analysis on the Current Situation of College Chinese Teaching in Higher Vocational Colleges
- 2.1 Fuzzy Orientation of Curriculum
- 2.2 Students Do Not Pay Enough Attention to the Curriculum
- 3 The Causes of Problems in College Chinese Teaching
- 3.1 The Teaching Content of College Chinese is Too Old
- 3.2 Insufficient Investment in Curriculum Construction
- 4 Description of Intelligent Group Paper Model
- 4.1 Interpretation of Test Paper
- 4.2 Algorithm Explanation
- 5 System Function Design
- 5.1 Making Clear the Overall Teaching Goal and Establishing the Concept of Professional Education Service
- 5.2 Pay Attention to the Construction of Teaching Materials and Improve the Sense of the Times of Teaching Content
- 6 Summary and Prospect
- References
- Research on the Application of Data Statistics Technology in the Training Course of Service and Management for the Elderly
- 1 Introduction
- 2 Research Status at Home and Abroad
- 2.1 Current Situation Abroad
- 2.2 Domestic Situation
- 3 Key Technology
- 3.1 Autonomous Mobile Technology
- 3.2 Perception Technology
- 3.3 Intelligent Decision Control Technology
- 4 The Pain Points of Traditional Expansion Methods
- 4.1 Value Evaluation System
- 4.2 User Perception
- 5 Identification of Cell Traffic Depression based on Clustering Algorithm
- 5.1 Cell Scene Clustering based on Kmeans Algorithm
- 5.2 Identification and Calculation of Flow Depression
- 6 The Current Situation and Reform Significance of the Core Curriculum of the Elderly Service Major
- 6.1 The Current Situation of Core Curriculum Setting for Senior Service Major
- 6.2 The Significance of the Core Curriculum Reform of the Elderly Service Major
- 7 Conclusion and Prospect
- References
- Research on the Application of Information Data Classification in Employment Guidance for Higher Vocational Students
- 1 Introduction
- 2 C4.5 Algorithm
- 3 The Current Situation and Problems of Employment Guidance System in Higher Vocational Colleges
- 3.1 Current Situation Analysis
- 3.2 Existing Problems
- 4 Changing the Employment Guidance System and Promoting Students' High Quality Employment
- 4.1 The Concept of Employment Guidance
- 4.2 The Curriculum System of Employment Guidance Changes to the Trend of Diversification
- 4.3 Transformation of Teachers and Functional Departments to Specialization
- 5 Changing the Employment Guidance System and Promoting Students' High Quality Employment
- 5.1 Changing the Concept of Employment Guidance
- 5.2 Higher Vocational Schools Should Actively Take Various Measures to Promote the Smooth Employment of Graduates
- 5.3 The Employers Should Change the Concept of Employment, and the Parents of the Graduates Should Change Their Own Concept
- 6 Data Acquisition
- 7 Simulation for Generating Classification Rules
- 8 Conclusion
- References
- Study on the Application of Fuzzy Algorithm in English-Chinese Translation System in Vocational College Education
- 1 Introduction
- 2 Statistical Machine Translation
- 2.1 Introduction to Statistical Machine Translation
- 2.2 Advantages of Statistical Machine Translation
- 2.3 Static Binary Compiler
- 3 Fuzzy Algorithm
- 3.1 Fuzzy c-Means Clustering Algorithm
- 3.2 The Concrete Steps of FCM Algorithm
- 4 Application of Computer Aided Translation Technology in Simultaneous Interpreting
- 4.1 Technology Assisted Multimodal Pre Translation Preparation
- 4.2 Technology Assisted Live Simultaneous Interpreting Practice
- 5 Synonymous Translation
- 5.1 Technical Literacy and Psychological Quality of Interpreters in the Age of Technology Assisted Simultaneous Interpreting
- 5.2 How to Protect Intellectual Property Rights and "Innocence" of Interpreters in the Era of Technology Assisted Simultaneous Interpreting
- 5.3 Technology Assisted Simultaneous Interpreting May Not Improve the Communication Effect of Speakers
- 6 An Analysis of English Chinese Translation System
- 6.1 System Architecture
- 7 Analysis of Simulation Experiment
- 8 Conclusion
- References
- Teaching System and Application of Preschool Education with Big Data
- 1 Introduction
- 2 Related Research Status
- 3 Problems in Practical Teaching of Preschool Education Major
- 3.1 Practice Teaching has not been Effectively Implemented
- 3.2 Lack of Practical Teaching Conditions
- 3.3 The Management of Practice Teaching is Not Enough
- 4 The Construction of Teaching Ecosystem
- 5 System Construction
- 5.1 Preparation and Arrangement of Supporting Materials
- 5.2 System Design Ideas
- 5.3 System Construction Process
- 6 Conclusion
- References
- Research on the Innovative Application of Big Data Financing Model in University Infrastructure Projects
- 1 Introduction
- 2 BOT Mode
- 2.1 The Definition, Characteristics and Forms of BOT Financing Mode
- 2.2 Characteristics of BOT Financing Mode
- 3 Necessity and Feasibility Analysis of BOT Financing Mode in Colleges and Universities
- 4 Research on the Application of BOT Financing Mode in Colleges and Universities
- 5 Conclusion
- References
- Application of Data Mining Technology in Economic Statistics
- 1 Introduction
- 2 The Advantages of Data Mining Technology in Economic Statistics
- 2.1 With Strong Comprehensive Ability
- 2.2 The Effect of Actual Statistics is Strong
- 2.3 The Applicability of Data Mining Technology is Strong
- 3 Data Mining Technology
- 3.1 Basic Concepts of Data Mining
- 3.2 Common Algorithms of Data Mining
- 4 Application of Data Mining Technology in Economic Statistics
- 4.1 The Method of Data Integration Lays a Foundation for the Accurate Statistics of Economic Data
- 4.2 The Pretreatment Method Should Be Applied in It
- 4.3 Regression Analysis Method Can More Clearly Reflect the Data Statistics
- 5 Conclusion
- References
- Multi-objective Evolutionary Algorithm Based on Data Analysis and Its Application in Portfolio Optimization
- 1 Introduction
- 2 Discuss the DEA Based Multi-objective Evolutionary Algorithm and Its Advanced Significance
- 3 Analysis of the Application of DEA Based Multi-objective Evolutionary Algorithm in Portfolio Optimization
- 3.1 Application of Classical M-V Models
- 3.2 M-V Models with Cardinality Constraints
- References
- Research and Development of Green Pottery Under the Cooperation Platform of University and Enterprise Under Big Data Analysis
- 1 Introduction
- 2 Research on Innovation and Entrepreneurship Mechanism of College Students Based on Multidimensional Dynamic Innovation Model
- 3 Research on the Importance of Influencing Factors of College Students' Innovation and Entrepreneurship Based on Multivariate Support Vector Machine
- 4 Platform Design and Implementation
- 4.1 Platform Requirement Analysis
- 4.2 Overall Design of the Platform
- 4.3 Implementation of Project Declaration Module
- 5 Analysis on Actor Network of School Enterprise Cooperation in Higher Vocational Colleges
- 5.1 Problematization
- 5.2 Benefit Endowing
- 6 Attach Importance to the Role of Vocational Education Group
- 7 Epilogue
- References
- Applications of Information Technology
- Research on Electronic Finance Comprehensive Experimental System Platform Based on Information Technology
- 1 Introduction
- 2 Design of Electronic Finance Comprehensive Experiment System Platform
- 2.1 Struts Framework Structure
- 2.2 Spring Technology
- 3 Data Structure of Electronic Finance Experiment System
- 4 Network Structure Design
- 5 Conclusion
- References
- Research on Information Media Technology Design of Information Collection and Release System
- 1 Introduction
- 2 All Media Concept and Related Technical Standards
- 2.1 Definition of All Media
- 2.2 Information Collection Algorithm
- 2.3 Characteristics of Omnimedia
- 3 Requirement Design and Analysis of Newspaper News Information Collection and Release System
- 3.1 Understanding of System Project Requirements
- 3.2 System Construction Design Principle and Construction Content
- 4 UML Basic Model of System
- 4.1 System Use Case Diagram
- 4.2 System Management Time Sequence
- 5 Concluding Remarks
- References
- Research on the Application of Digital Technology in Civil Engineering Survey Management System
- 1 Introduction
- 2 Civil Engineering Survey Technology
- 3 Computer Digitization and Civil Engineering
- 3.1 The Influence of Computers
- 3.2 Digital Engineering Survey Technology
- 4 Application of Computer Digital Civil Engineering Survey
- 4.1 GPS Positioning and RTK Measurement Technology
- 4.2 Ground 3D Laser Scanning Technology
- 4.3 UAV Tilt Photogrammetry Technology
- 5 Computer Digital Engineering Management
- 6 Conclusion
- References
- Research on the Application of Information Technology in Psychological Education of College Students
- 1 Introduction
- 2 Data Mining Technology
- 2.1 Cluster Analysis
- 2.2 Classification of Data Mining System
- 2.3 Decision Tree
- 3 Application of Data Mining in the Analysis of College Students' Psychological Problems
- 4 Design and Implementation of College Students' Psychological Data Management System
- 5 Conclusion
- References
- A Lexical Analysis Algorithm for the Translation System of Germany and China Under Information Technology Education
- 1 Introduction
- 2 The Choice of Translation Methods
- 2.1 Literal Translation and Free Translation
- 2.2 Semantic Translation and Communicative Translation
- 3 The Rules if German Word Form Change
- 3.1 Lexical Analysis
- 3.2 Apriori Algorithm
- 4 The Construction of a Small Parallel Corpus Between German and Chinese
- 4.1 Selection and Collection of German and Chinese Bilingual Corpus
- 4.2 The Arrangement of German and Chinese Bilingual Corpus
- 5 Regular Expression of Lexical Rules
- 6 Lexical Analysis Algorithm
- 6.1 Algorithm Flow
- 6.2 Lexical Analysis Information
- 7 Concluding Remarks
- References
- Analysis and Research of Data Encryption Technology in Network Communication Security
- 1 Introduction
- 2 Analysis of Encryption Technology
- 2.1 The Importance of Data Encryption
- 2.2 Principle of Data Encryption
- 3 Analysis of Classical Encryption Algorithm
- 3.1 Overview of Encryption Algorithm
- 3.2 DES Algorithm
- 3.3 MD5 Algorithm
- 4 Design and Implementation of RSA File Encryption in the System
- 4.1 The Client Function of Encrypting and Decrypting Report Files
- 4.2 Technical Route Selection
- 4.3 Design and Implementation of Encryption Algorithm
- 5 Software Implementation of Generating Large Prime Number
- 6 System Test
- 6.1 Test Purpose
- 6.2 Test Scope
- 7 Conclusion
- References
- Application Analysis of Data Technology in Computer Information Security Education
- 1 Introduction
- 2 Application Status of Big Data Technology in Computer Information Security
- 2.1 Overview of Big Data Technology
- 2.2 Computer Information Security in Big Data Environment
- 3 Big Data Technology of Computer Information Security
- 3.1 Cloud Computing Technology
- 3.2 Data Backup Technology
- 3.3 Analysis of Network Security Behavior
- 4 Big Data Application
- 4.1 Application of Cloud Computing Technology
- 4.2 Application of Data Backup Technology
- 4.3 Application of Hado
- 5 Analysis of the Problems in the Network Security Education of College Students
- 5.1 The Virtual Nature of Network Alienates the Main Body of Network Security Education
- 5.2 The Openness of Network Leads to the Complex Environment of Network Security Education
- 5.3 The Fragmentation of Network Information Weakens the Effectiveness of Network Security Education
- 6 There is a Contradiction Between the Diversity of College Students' Network Needs and the Singleness of Network Security Education
- 7 Conclusion
- References
- Computer Network Security and Effective Measures for the Era of Big Data
- 1 Introduction
- 2 Computer Network Security in the Era of Big Data
- 2.1 There Are Loopholes in Computer Network System
- 2.2 Safety Problems Caused by Improper Human Operation
- 2.3 Network Virus Infection
- 3 Effective Preventive Measures for Computer Network Security Problems in the Era of Big Data
- 3.1 Application Firewall
- 3.2 Application Safety Monitoring System
- 3.3 Using Antivirus Software
- 3.4 Ensure the Security of Information Storage and Transmission
- 4 Simulation Analysis of the Importance of Solving Computer Network Security Problems in the Era of Big Data
- 5 Effective Response to Computer Network Security Problems Under the New Normal
- 5.1 Application of Network Intrusion Detection Technology to Effectively Prevent Hacker Attacks
- 5.2 Strengthen the Network Security Management, Effectively Guarantee the Computer Network Security
- 5.3 Reasonable Application of Encryption Technology to Ensure the Security of Network Information Resources
- 6 Conclusions
- References
- Construction and Application of Employment Platform for Intelligent Poor College Students Under Information-Based Education
- 1 Introduction
- 2 General Detail Feature Extraction Algorithm
- 3 Improved Algorithm
- 3.1 Classification and Characteristic Analysis of Noise in Thinning Fingerprint Image
- 3.2 Analysis of the Inherent Distribution Law of the Detail Feature Points of the Motif
- 4 Construction of Intelligent Employment Service Mode in Colleges and Universities Based on Big Data
- 5 Research Background
- 6 Problems of Software Engineering Course Group
- 6.1 Unreasonable Curriculum System
- 6.2 The Teaching Content is Out of Date
- 6.3 The Combination of Curriculum Group Teaching and Industrial Demand Is Not Close
- 6.4 The Evaluation Method of Curriculum Group Is Not Scientific Enough
- 7 Construction and Teaching of Industry University Research Platform for Software Engineering Course Group
- 7.1 Promoting Education
- 7.2 Analysis of Logical Relationship of Software Engineering Curriculum Group
- 8 Conclusion
- References
- Design and Realization of Interactive Learning System for Art Teaching in Pre-school Education of Artificial Intelligence Equipment
- 1 Introduction
- 2 System Analysis and Main Functions
- 2.1 System Setting Principle
- 2.2 System Setting Purpose
- 3 System Performance Analysis
- 3.1 System Objectives
- 3.2 System Function Analysis
- 4 System Overall Design
- 5 Detailed Design of Art Teaching Interactive Study System
- 5.1 The Design of the Main Function Modules of the System
- 5.2 Design of Online Operation Function
- 6 Promotion Method
- 6.1 Interest Stimulation Method
- 6.2 Imagination Stimulation
- 6.3 Integration of Teaching, Learning and Doing
- 7 Concluding Remarks
- References
- Design of Online Vocal Teaching Auxiliary System in Colleges and Universities Under the Background of Big Data
- 1 Introduction
- 2 Overall Design
- 3 Detailed Design and Implementation of the System
- 3.1 Design and Implementation of Data Persistence Layer
- 3.2 Design and Implementation of Logic Layer
- 3.3 Design and Implementation of Presentation Layer
- 3.4 Summary of this Chapter
- 4 Overall Design of System Technical Framework
- 4.1 Web Design Technology
- 4.2 CSS Technology
- 5 Design and Implementation of the Main Function of the System
- 5.1 Design and Implementation of Media Learning Environment
- 5.2 Design and Implementation of Test Exercise Environment
- 5.3 Question Resource Management
- 5.4 Design and Implementation of Programming Training Environment
- 6 Research on the Key Technology of the System
- 6.1 The Necessity of RIA in Java Teaching Assistant System
- 6.2 Overview of Ajax Technology
- 7 Conclusion
- References
- Discussion on the Innovation of Computer Virtual Reality Technology in the Training and Teaching of Aerobics in Vocational Colleges
- 1 Introduction
- 2 Definition of Concept
- 2.1 Virtual Reality
- 2.2 Sports System Simulation Platform
- 2.3 Principle of Motion Attitude Detection Based on Nine Axis Sensor
- 3 Discussion on the Application Principle of Virtual Reality Technology in the Field of Aerobics Training
- 3.1 The Basic Architecture of Aerobics System Simulation Platform Based on Virtual Reality Technology
- 3.2 Working Principle of Sports System Simulation Platform Based on Virtual Reality Technology
- 4 Basic Principle and Theoretical Application Environment of Aerobics System Simulation Platform
- 5 The Application of Virtual Reality Technology in the Field of Aerobics Training
- 5.1 Characteristics of Aerobics Training
- 5.2 Data Acquisition and 3D Model Construction of Virtual Reality Technology
- 5.3 Construction of Aerobics System Simulation Platform
- 6 The Dilemma of Improving Aerobics Teaching in College Physical Education
- 6.1 Under the New Curriculum Reform, the New Goal of Teaching Idea is Combined with the Modern Teaching Mode
- 6.2 We use the Aerobics Teaching Material is not Targeted, the Content of Theory Teaching is not Enough
- 7 Analysis on the Strategy of Innovative Education in College Physical Aerobics Teaching
- 7.1 To Build a Matching Aerobics Teaching Mode with the Goal of Students' Ability Training
- 7.2 Scientific and Reasonable Construction of Aerobics Evaluation System
- 8 Epilogue
- References
- Empirical Analysis on the Effect of Actual Combat Elements in Simulated Taekwondo Teaching Based on VR Technology
- 1 Introduction
- 2 Related Work
- 3 Analysis on the Teaching Contents and Causes of Taekwondo
- 4 Simulation Analysis of Adding TF Practical Skills to Taekwondo Teaching Based on VR Technology
- 4.1 ITF and WTF
- 4.2 Analysis of the Current TF Taekwondo Teaching Content and Competition Action
- 4.3 Feasibility Analysis of Adding TF Techniques to VR Taekwondo Teaching
- 5 Research Results and Analysis
- 5.1 Significance of Training Students in Taekwondo Teaching of Physical Education Major
- 5.2 Characteristics of Taekwondo
- 5.3 Moral Cultivation for the Body, Etiquette for the Use
- 6 The Role of Multiple Intelligences in Taekwondo Teaching of Physical Education Major
- 7 Teaching Design of Cultivating Students' Multiple Intelligences in Taekwondo Teaching of Physical Education Major
- 8 Conclusion
- References
- On the Influence of Ganpo Elements on Oil Painting Creation in Education and Teaching Under the Background of Ant Colony Algorithm
- 1 Introduction
- 2 Research on the Formal Beauty in the Teaching of Oil Painting Landscape Painting
- 3 Research on the Formal Beauty in the Teaching of Oil Painting Landscape Creation
- 4 Ant Colony Algorithm
- 4.1 Mathematical Model
- 4.2 Update of Pheromone Volatilization Factor
- 4.3 Advantages and Disadvantages of Ant Colony Algorithm
- 5 Exploration Trend and Problem Analysis of Image Landscape Oil Painting
- 6 Conclusion
- References
- Practice and Exploration of Completely Online Network Teaching with ID3 Algorithm
- 1 Introduction
- 2 Integration, Optimization and Quantity Construction of Existing Resources
- 2.1 Further Enrich and Improve All Aspects of Resources, Optimize the Existing Courseware
- 2.2 Use the Existing Network Platform to Build a Comprehensive Network Teaching System
- 3 Making Full Use of the Existing Multimedia Courseware and Question Bank to Carry Out Online Teaching
- 3.1 Master Feedback Information and Develop Skills
- 3.2 Teaching Method
- 4 Decision Tree Analysis Algorithm
- 4.1 Basic Algorithm of Decision Tree
- 4.2 ID3 Algorithm
- 5 Exploration of Teaching Methods
- 5.1 Pay Attention to Combine with Practice
- 6 Pay Attention to Combine with Practice
- 7 The Importance of Summary
- 8 The Practice of MOOC Teaching in the Internet Age
- 9 Simulation Analysis for Course Recommendation
- 9.1 Overview of Recommendation System Based on Clustering Collaborative Filtering
- 9.2 Data Acquisition
- 10 Conclusion
- References
- Research on the Application of Cross-Industry Information Education in Agricultural Electronic Commerce
- 1 Introduction
- 2 Application Base of E-commerce Website CRISP-DM Agricultural Products
- 3 Preparation of Application CRISP-DM for E-commerce Websites on Agricultural Products
- 3.1 Basic Data from a Business Perspective
- 3.2 Data Acquisition Pathways
- 3.3 Data Mining Content
- 4 Application of CRISP-DM of E-commerce Website for Agricultural Products
- 4.1 Projections of User Purchase Behavior
- 4.2 Accurate Agricultural Delivery
- 4.3 Humanized Web Page Recommendation Model
- 5 Problems in the Selection of Teaching Materials in Colleges and Universities
- 5.1 The Implementation of the Responsibility of Teaching Material Management
- 5.2 Textbook Management Responsibility
- 5.3 Highlight the Operator's Own Advantages
- 6 Summary
- References
- Research on the Design of Internet Plus Home Care Service Platform for Intelligent Elderly
- 1 Introduction
- 2 Internet Plus Intelligent Endowment Mode
- 2.1 Defects of Pension Service
- 2.2 Core Technology of Smart Pension
- 2.3 Internet Plus Home Care Concept
- 3 Design of Intelligent Pension Service System Platform
- 4 Internet Plus Home Care for the Elderly
- 5 Conclusion
- References
- Research on the Process of Informatization Education in Publicity and Translation on Government Website
- 1 Introduction
- 2 Data Mining Algorithm
- 2.1 Support Vector Regression
- 2.2 Decision Tree
- 2.3 Innovate the Way of Propaganda and Improve the New Ability of Propaganda Work
- 3 Theoretical Review
- 3.1 Relevance Adaptation Theory
- 3.2 The Specific Requirements of Government Propaganda in the New Media Era
- 3.3 The Current Situation and Improvement Measures of School Case Publicity in the New Media Era
- 4 Analysis on the Current Situation and Problems of Propaganda Work Under the Condition of Informatization
- 4.1 The Cadres do not Grasp the Change of the Current Concept of Information Dissemination
- 4.2 Under the Condition of Informatization, the Function of Public Opinion Supervision of Traditional Propaganda Methods is Gradually Weakening
- 4.3 The Unidirectional Communication of Traditional Propaganda Lags Behind the Development of the Times
- 5 Two Stages in the Process of Government Publicity Translation
- 5.1 The Process of Interpretative Communication
- 5.2 The Process of Discourse Productive Communication
- 6 Simulation Analysis
- 7 Conclusion
- References
- Teaching Team of Accounting Professional Training and Guidance Teachers for Multi-interactive Vocational Colleges Under the Background of Artificial Intelligence
- 1 Introduction
- 2 Related Work at Home and Abroad
- 3 The Teaching Function of Three Dimensional Integrated and Multiple Interactive Learning Platform
- 3.1 It has Online Learning Function
- 3.2 It has Intelligent Teaching Function
- 3.3 It has the Function of Autonomous Learning
- 4 Implementation and Construction of Teaching Mode of Three-Dimensional and Multiple Interactive Learning Platform Under the Background of Informatization
- 4.1 Design of Classroom Teaching Link
- 4.2 Classroom Teaching Process Design
- 4.3 Case Analysis
- 5 Correlation Analysis of Management Accounting Indicators
- 6 Analysis on the Current Situation of the Construction of Accounting Training Teachers in Vocational Colleges
- 7 Theory and Method of Multi Objective Robust Optimization Design
- 7.1 Basic Theory of Robust Optimization Design
- 7.2 A New Method of Optimization Design
- 8 Exploration and Innovation on the Construction of Accounting Training Teachers in Higher Vocational Colleges
- 8.1 System Guarantee
- 8.2 Multiple Linkage
- 9 Conclusion
- References
- Design and Research of Network Computer Room Management Platform in Smart Campus Environment
- 1 Introduction
- 2 Proposed Work for Cloud Computing Technology in the Construction of Smart Campus
- 2.1 Background of Smart Campus Construction
- 2.2 Connotation and Characteristics of Smart Campus
- 3 General Design Principles and Simulation
- 3.1 Standardization Principle
- 3.2 Data Sharing Principles
- 3.3 Principle of Openness
- 3.4 One Stop Service Principle
- 3.5 Construction Objectives
- 4 Analysis Of The Current Situation Of Smart Campus Construction
- 4.1 The Efficiency of Information Application is not High
- 4.2 Lack of Unity
- 4.3 The Infrastructure is Lagging Behind
- 5 Measures for the Construction of High School Smart Campus Under the Internet Plus Era
- 5.1 Grasp the Direction of Smart Campus Construction Under the Background of Internet Plus
- 5.2 Construction of High School Campus Integrated Information Service Platform
- 5.3 Provide Organizational Foundation for Smart Campus by Strengthening Campus Internal Management
- 5.4 Increase the Investment in Infrastructure and the Establishment of Guarantee Mechanism in the Process of Construction
- 6 Conclusions
- References
- Research on the Application of Information-Based Education in Non-relic Tourism Education
- 1 Introduction
- 2 Genetic Algorithm
- 2.1 The Concept of Genetic Algorithm
- 2.2 Path Planning Steps of Genetic Algorithm
- 3 The Rise of Foreign Intangible Cultural Heritage Protection Education
- 4 Intangible Cultural Heritage and Tourism Education
- 5 Tourism Education in Intangible Cultural Heritage Sites
- 5.1 Universal: Everyone is an Educator and Educatee
- 5.2 Public Welfare: Education Reduces the Social Cost of Development and Produces Positive Externality
- 5.3 Pertinence: Adjust Measures to Local Conditions According to the Characteristics of Cultural Heritage Sites
- 6 Research Design
- 6.1 Scale Design
- 6.2 Data Collection
- 7 Conceptual Model and Related Hypotheses
- 7.1 The Impact of Consumer Participation on Consumer Knowledge and Related Hypotheses
- 7.2 The Influence of Antecedents on Purchase Intention and the Role of Related Hypotheses in the Influence of Consumer Participation on Purchase Intention
- 7.3 Management Inspiration
- 8 Conclusion
- References
- Research on the Construction of Mental Health Education System for Higher Vocational Students Based on Computer Software Analysis
- 1 Introduction
- 2 Analysis on the Current Situation of Mental Health Education for Students in Higher Vocational Colleges in China
- 2.1 Significance of Mental Health Education
- 2.2 The Goal of Mental Health Education is not Clear
- 3 Construction of Dynamic Monitoring System of Mental Health of Vocational College Students Based on Computer Software Analysis
- 4 The Effect of Positive Psychology on the Mental Health of Vocational College Students
- 4.1 Integrating the Function of Mental Health Education
- 4.2 Deepening the Reform of Mental Health Education
- 4.3 Expand the Way of Mental Health Education
- 5 Countermeasures to Improve the Construction of Mental Health Education System in Higher Vocational Colleges
- 5.1 Broaden the Channels of Mental Health Education for Vocational College Students
- 5.2 Strengthen the Construction of Teaching Staff
- 5.3 Strengthen the Mental Health Education and Training of College Counselors
- 5.4 Continuously Improve the Professional Level of Mental Health Education
- 6 The Training Goal of Positive Psychological Education
- 7 Conclusion
- References
- Design of Information Teaching System Platform for University Teachers from TPACK Perspective
- 1 Introduction
- 1.1 Analysis of College Teachers' Information Teaching Ability Based on TPACK
- 1.2 Analysis of the Standard of Educational Technology Ability for Primary and Secondary School Teachers
- 2 Key Technology of Application
- 2.1 Wechat Public Account
- 2.2 Development Interface
- 2.3 Data Format
- 3 JSON Technology
- 3.1 JSON Sequence Mechanism
- 3.2 Advantages and Functions of ECS
- 4 On the Structure of Information Teaching Ability of University Teachers from the Perspective of TPACK
- 5 University Education Informatization Based on Cloud Model Data Mining Algorithm
- 6 System Design of University Teachers' Information Teaching Ability Structure from TPACK Perspective
- 6.1 Information Teaching Design
- 6.2 Resource Design and Development
- 7 Conclusion and Prospect
- References
- Author Index
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