Big Data and Networks Technologies

Name: Big Data and Networks Technologies
Brand: Springer
Price: 181.89 EUR
Availability: OnlineOnly

Yousef Farhaoui(Herausgeber*in)

Springer (Verlag)

1. Auflage

Erschienen am 17. Juli 2019

VII, 372 Seiten

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978-3-030-23672-4 (ISBN)

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Inhalt

Intro
Contents
Experimental Validation of New SIP Authentication Protocol
Abstract
1 Introduction
2 SIP Overview
3 Review of Our Proposed Protocol
3.1 System Setup Phase
3.2 Registration Phase
3.3 Login and Authentication Phase
3.4 Password Change Phase
4 Implementation of Our Proposed Protocol
4.1 Developed Prototype
4.2 Tested Scenarios
4.3 Results and Discussions
5 Conclusion
References
Promoting Health and Well-Being Using Wearable and Smartphone Technologies for Ambient Assisted Living Through Internet of Things
Abstract
1 Introduction
2 Related Work
3 Materials and Methods
4 Results and Discussion
5 Conclusion
References
Implicit JSON Schema Versioning Driven by Big Data Evolution in the tJSchema Framework
Abstract
1 Introduction
2 JSON Schema Changes Generated by Updates to JSON-Based Big Data
3 tJSchema Extension to Support Implicit Schema Versioning
4 Illustrative Example
5 Conclusion
References
A Novel Tool DSMOTE to Handel Imbalance Customer Churn Problem in Telecommunication Industry
Abstract
1 Introduction
2 Literature Survey
3 Main Tools
3.1 Knowledge Discovery in Data Base (KDD)
3.2 Data Mining
3.3 Predictive or Perspective Data Mining
3.4 Imbalance Data
3.5 Churn Prediction
4 Proposed Method
5 Results
5.1 Traditional SMOTE
5.2 DSMOTE
6 Conclusion
References
Quality and Reliability Data Fusion for Improving Decision Making by Means of Influence Diagram: Case Study
Abstract
1 Introduction
2 Research Tools
2.1 Fault Tree
2.2 Bayesian Networks
2.3 Influence Diagrams
3 Bayesian Modeling
3.1 Description of the Installation
3.2 Fault Tree Analysis
3.3 Modeling by Bayesian Network
4 Decision-Making by Using Influence Diagram
5 Conclusion
Acknowledgment
References
Data Mining and Machine Learning Approaches and Technologies for Diagnosing Diabetes in Women
Abstract
1 Introduction
2 Research Background
2.1 Diabetes in Women
2.2 Machine Learning Concepts
2.3 Related Works
3 Methodology
3.1 Dataset Description
3.2 Tools Used
3.3 Classification Algorithms
3.3.1 Naive Bayes
3.3.2 Decision Tree
3.3.3 Support Vector Machines (SVM)
3.3.4 Neural Network
3.4 Criteria of Comparison
4 Results
5 Conclusion
References
Multi Dimensional Hidden Markov Model for Credit Scoring Systems in Peer-To-Peer (P2P) Lending
1 Introduction
2 Background
2.1 First Order Hidden Markov Model
2.2 Multi Dimensional HMM
2.3 Credit Scoring Problem
3 Experimental Setup
3.1 Data Description
3.2 K Fold Corss Validation
3.3 Handling the Imbalanced Dataset
3.4 Evaluation Metrics
3.5 Computation
3.6 Experiments Results
4 Conclusion
References
Pragmatic Method Based on Intelligent Big Data Analytics to Prediction Air Pollution
Abstract
1 Introduction
2 Related Works
3 Main Concept
3.1 Big Data
3.2 Big Data Analysis Stages
3.3 Deep Learning
3.4 Prediction
3.5 Air Pollution
4 A Prototype of Smart Air Quality Prediction Model (SAQPM)
4.1 Problem Statement
4.2 Particle Swarm Optimization (PSO)
4.2.1 Basic Components of the Bird Swarm Algorithm (PSO)
4.3 Long Short-Term Memory (LSTM)
4.3.1 LSTM Architecture and Algorithm
4.3.2 The Variables in LSTM - RNN
5 Experiment
5.1 Data and Method
5.2 Data Visualization
5.3 Normalizing the Data
5.4 Data Generator
6 Discussions and Conclusions
Compliance with Ethical Standards
Appendix
References
Practical Investigation on Bearing Fault Diagnosis Using Massive Vibration Data and Artificial Neural Network
Abstract
1 Introduction
2 Vibration Analysis
3 Experimental Study
3.1 Description of the Experimental Platform
3.2 Feature Extraction
4 The Artificial Neural Network Models
5 Results and Discussion
6 Conclusion
Acknowledgment
References
Multi Objectives Optimization to Gas Flaring Reduction from Oil Production
Abstract
1 Introduction
2 Related Work
3 Main Topics & Materials
3.1 Big Data
3.2 Intelligent Data Analysis (IDA)
3.3 Knowledge Discovery Database (KDD)
3.4 Optimization
3.5 Oil and Gas
3.6 Natural Gas
3.7 Gas Flaring
4 Multi Objectives Optimization Model
4.1 Multivariate Adaptive Regression Splines (MARS)
4.2 Develop Optimization Mining (DOM)
5 Results
5.1 Formal Calculation According to Gas Flaring
5.2 Costs
5.3 Analysis and Compare from Both Sides the Performance and Cost of (TM, DOM, Hybrid) Methods
6 Conclusion
References
Nesterov Step Reduced Gradient Algorithm for Convex Programming Problems
1 Introduction
2 Reduced Gradient Method
2.1 Reduced Problem
3 Algorithm of Reduced Gradient
3.1 Algorithm of RG
3.2 Speed Reduced Gradient Algorithm
4 Convergence Analysis
4.1 Assumptions
5 Numerical Experiments
5.1 Test Problems
5.2 Applications
6 Conclusion
References
Recommendation System of Big Data Based on PageRank Clustering Algorithm
Abstract
1 Introduction
2 Related Works
3 Main Concept
3.1 Big Data (BD)
3.2 Intelligent Data Analysis
3.3 Clustering
3.4 Retail Data Analytics [13]
3.5 Graph Mining Techniques
3.6 Recommendation System
4 A Prototype of Recommendation System (PRS-CPR)
4.1 Problem Statement
5 Experiment
5.1 Collect Data
5.2 Preprocessing of Database
5.3 Convert Data Set into Graph
5.4 Generated Optimal Number of Communities
5.5 Generate Associations Pattern
6 Discussions and Conclusions
References
Intelligent System for Monitoring and Detecting Water Quality
Abstract
1 Introduction
2 Related Work
3 Our Developed System
3.1 Over All Structure of Our Proposed System
3.2 System Hardware Architecture
3.3 Utility of Measured Parameters
4 Results of Analysis and Discussion
4.1 Results and Discussion
4.2 Comparison with Other Systems
5 Conclusion
References
Using Ensemble Methods to Solve the Problem of Pulsar Search
1 Introduction
2 Proposed Ensemble Methods to Detect Pulsar Candidates
2.1 Bagging Method
2.2 Random Forest Method
2.3 Boosting Method
3 Description of HTRU2 Data Set
3.1 Split Data Set
4 Experimental Results and Analysis
4.1 Evaluation Function
4.2 Experimental Results
4.3 Analysis and Conclusion
References
Pragmatic Text Mining Method to Find the Topics of Citation Network
Abstract
1 Introduction
2 Related Work
3 Main Tool
3.1 Tokenization
3.2 Punctuation Removing
3.3 Stopwords Removing
3.4 Stemming
3.5 Rapid Automatic Keyword Extraction (Rake)
3.6 Lemmatization
3.7 TF-IDF
3.8 Latent Dirichlet Allocation (LDA)
4 Pragmatic Method
5 Experimental Result
5.1 Collection Data
5.2 Results of Traditional Method
5.2.1 Preprocessing Phase
5.2.2 Feature Selection Phase
5.3 Result of Pragmatic Method
5.3.1 Preprocessing Text Phase
5.3.2 Classification Phase
6 Conclusion
References
Grey-Markov Model for the Prediction of the Electricity Production and Consumption
1 Introduction
2 GM(1,1) Model
3 Markov Chain Model
4 Grey-Markov Model
5 Numerical Experiments
5.1 Forecasting the Electricity Production in Morocco
5.2 Forecasting the Electricity Consumption in Morocco
6 Discussion and Conclusion
References
Smart Monitoring System for the Long-Term Control of Aerobic Leachate Treatment: Dumping Case Mohammedia (Morocco)
Abstract
1 Introduction
2 Related Work
2.1 Parameters Control Approaches
2.2 Intensive Aeration Technology
3 Results of Analysis and Discussion
3.1 Characterization Results of the Mohammedia Leachate
3.2 Result of Conventional Aeration Treatment
3.3 Developed and Structure of the Monitoring System
3.4 Process Modeling
3.5 Monitoring System
3.6 Full Scale Testing
3.7 Limitations and Constraints of Control
3.8 Preliminary Data Validation (PDV) Algorithm
4 Conclusions
References
The Reality and Future of the Secure Mobile Cloud Computing (SMCC): Survey
Abstract
1 Introduction
2 Background and Related Works
3 Precise Problem Statement Recapped
4 Gaps in the Literature to Be Addressed by This Proposal
5 Research Questions to Be Answered
6 Technical Approach of How and What Work Will Be Performed
References
A Multilayer Perceptron Classifier for Monitoring Network Traffic
Abstract
1 Introduction and Notations
2 Background
2.1 Data Classification Methods
2.2 Support Vector Machines
2.3 Multilayer Perceptron
3 Our Work
3.1 The Proposed Model
3.2 Description of Solutions
4 Conclusion and Perspectives
References
Design (More-G) Model Based on Renewable Energy & Knowledge Constraint
Abstract
1 Introduction
2 Related Works
3 Main Concept
3.1 Big Data
3.2 Search Method
3.3 Integrated System
3.3.1 Objective Function
3.3.2 Constraints
3.4 Optimization
3.4.1 Cuckoo Optimization Algorithm
3.5 Multi Objective Optimization
3.6 Green Energy
3.7 Energy Returned on Energy Invested (EROER)
4 Problem Statement
5 Experiment
5.1 Data and Method
5.2 Select Dataset
5.3 Pre-processing
5.4 Determined the Constructions for Each Dataset
5.4.1 Objective Function
5.4.2 Constraints
5.5 Develop Optimization Algorithm to Achieve Multi Objectives Optimization Task
6 Discussions and Conclusions
Appendix
References
Towards a Rich and Dynamic Human Digital Memory in Egocentric Dataset
Abstract
1 Introduction
2 Introducing Lifelogging
3 Related Work
4 Description of the Proposed Contribution
4.1 Machine Learning and Deep Learning
4.2 Convolutional Neural Network
5 Experimental Results
5.1 Data
5.2 Memorability Maps with a Fully Convolutional Network
6 Conclusions
References
Predictive Analytics and Optimization of Wastewater Treatment Efficiency Using Statistic Approach
Abstract
1 Introduction
2 Application of JMP11 Software in the Optimization of Wastewater Treatment by Adsorption Technique
3 Case Study: Predictive Analytics and Optimization of Synthesized Textile Wastewater Treatment by Adsorption Technique Using Manganese Dioxide Extracted from Mining Waste
3.1 Preparation of Synthesized Textile Effluent
3.2 The Methodology of Statistic Approach
4 Results of Analysis and Discussion
5 Conclusion
Acknowledgment
References
A Novel Software to Improve Healthcare Base on Predictive Analytics and Mobile Services for Cloud Data Centers
Abstract
1 Introduction
2 Literature Reviews
3 Predication Techniques
3.1 Objectives of Proposed Research
3.2 Research Methodology
4 Description of Methodology
5 Experiment
6 Conclusion
References
The Scientific and Technical Information System: An Engine for Capitalizing and Protecting the Results of Scientific Research Work of Higher Education Institutions with Limited Access. Case of the Faculty of Sciences and Techniques of Errachidia
Abstract
1 Introduction
2 Methodology for Quantitative Research
2.1 Intra Bloc Analysis
2.2 Inter Block Analysis
2.3 Automatic Classification
3 Analysis of Results and Implications of Results
3.1 Analysis of Quantitative Results
4 Analysis and Discussion of the Results
5 Conclusion
References
Trust in Cloud Computing Challenges: A Recent Survey
1 Introduction
2 Review of Authentication in Cloud
2.1 Authentication in Cloud
2.2 TTP (Trusted Third Party)
2.3 TPA (Third Party Auditor)
2.4 Cryptographic Primitives
3 Security Analysis
3.1 A. SSO (Single Sign On)
3.2 OAuth (Open Authorization)
3.3 Two Factors Authentication
3.4 Smart Card Authentication
3.5 Security Issues
3.6 Conclusion
References
Fetal Electrocardiogram Analysis Based on LMS Adaptive Filtering and Complex Continuous Wavelet 1-D
Abstract
1 Introduction
2 Theoretical Background
2.1 Least-Mean-Square Adaptive Filters LMS
2.2 Complex Wavelet Transform
3 Methods
4 Results and Discussion
4.1 ECG Recording and FECG Estimate
4.2 FECG Characterization
5 Discussion and Conclusion
Conflict of Interest Statement
References
Recommender System for Orientation Student
Abstract
1 Introduction
2 Proposed Approach
3 Approach Used
3.1 The Research Data
3.2 Data Preprocessing
3.3 Model Building
3.4 Comparison
3.5 Conclusion
3.6 Perspective
References
Author Index

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