Intelligence Science and Big Data Engineering. Big Data and Machine Learning Techniques

Name: Intelligence Science and Big Data Engineering. Big Data and Machine Learning Techniques | 5th International Conference, IScIDE 2015, Suzhou, China, June 14-16, 2015, Revised Selected Papers, Part II
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5th International Conference, IScIDE 2015, Suzhou, China, June 14-16, 2015, Revised Selected Papers, Part II

Xiaofei He Xinbo Gao Yanning Zhang Zhi-Hua Zhou Zhi-Yong Liu Baochuan Fu Fuyuan Hu Zhancheng Zhang(Editor)

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Published on 13. October 2015

XIX, 627 pages

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978-3-319-23862-3 (ISBN)

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Content

Intro
Preface
Organization
Contents - Part II
Contents - Part I
Exhaustive Hybrid Posting Lists Traversing Technique
Abstract
1 Introduction
2 Background and Related Work
2.1 Inverted Index
2.2 Index Traversal
3 Hybrid Exhaustive Index Traversal
3.1 Hybrid Scoring at a Time
3.2 Posting List Iterator
4 Experiments
4.1 Query Latency
4.2 Processed Elements
5 Conclusions
References
Control Parameters Optimization for Spacecraft Large Angle Attitude Based on Multi-PSO
Abstract
1 Introduction
2 Mathematical Model and Control Law Design
2.1 The Attitude Dynamics and Kinematics Model
2.2 Control Law Design
3 The Controller Parameter Optimization
3.1 Attitude Maneuver Controller Parameter Optimization Model
3.2 Multi-objective PSO Algorithm
4 Simulation
5 Conclusion
6 Acknowledgements
References
Analysis of the Time Characteristics of Network Water Army Based on BBS Information
Abstract
1 Introduction
2 Data Acquisition and Processing
2.1 Data Acquisition
2.2 Data Processing
2.3 Network Building
3 Time Features of the Water Army
3.1 Data Analysis
3.2 Analysis the Water Army Behavior by the Hour Cycle
3.3 The Water Army Behavior Analysis by a Day
3.4 Absolute and Relative Time Analysis
4 Analysis the Organizational Structure of the Water Army
5 Conclusion
References
Aspect and Sentiment Unification Model for Twitter Analysis
Abstract
1 Introduction
2 Related Work
3 PL-SASU Model
3.1 PL-SASU Model
3.2 Model Inference
3.3 Sentiment and Aspect Classification
4 Experimental Setup
4.1 Datasets
4.2 Sentiment Seed Words
4.3 Sentiment Labels
4.4 Aspect Labels
4.5 Hyperparameter Settings
5 Experimental Results and Analysis
5.1 Sentiment Classification
5.2 Results with Different Aspect Numbers
5.3 Aspect Identification
6 Conclusions
Acknowledgments
References
A Balanced Vertex Cut Partition Method in Distributed Graph Computing
1 Introduction
2 Graph Partition Formulation
2.1 Partition Methods
2.2 Communication Cost
2.3 Computing Cost
2.4 Partition Cost
2.5 Total Cost
3 Load Balance Vertex Cut
3.1 Random Assignment
3.2 Streaming Heuristic
3.3 Load Balance in Specific Edge Arrival Orders
4 Evaluation
4.1 Data Preparation
4.2 Case Study
5 Related Work
6 Conclusion
References
Non-convex Regularized Self-representation for Unsupervised Feature Selection
Abstract
1 Introduction
2 Non-convex Regularized Self-representation Model
2.1 Problem Statement
2.2 Loss Term and Regularization Term
3 Iterative Reweighted Least-Squares Algorithm
4 Experiments
4.1 Classification Accuracy Comparison
4.2 Clustering Effectiveness Comparison
5 Conclusions
References
Ranking Web Page with Path Trust Knowledge Graph
1 Introduction
2 Prior Work of Context Graph
2.1 Link Context Graph-LCG
2.2 Relevant Context Graph-RCG
2.3 Concept Context Graph-CCG
3 Knowledge Graph with Path Trust-PTKG
3.1 Path Analysis
3.2 Trust Degree
3.3 Topic Specific Language Model-TSLM
3.4 General Language Model-GLM
3.5 Ranking of Web Page
4 Experimental Analysis
5 Conclusion and Future Work
References
Locality Preserving One-Class Support Vector Machine
Abstract
1 Introduction
2 Related Work
2.1 One-Class SVM
2.2 Locality Preserving Project
3 Locality Preserving One-Class Support Vector Machine
3.1 Locality Preserving Scatter Matrix
3.2 Locality Preserving One-Class Support Vector Machine
3.3 The Singularity Problem of the Locality Preserving Scatter Matrix
4 The Nonlinear Case
5 Experiments
6 Conclusions
Acknowledgements
References
Locality Preserving Based K-Means Clustering
Abstract
1 Introduction
2 Related Work
2.1 The K-Means Algorithm
2.2 Locality Preserving Projections (LPP)
3 Locality Preserving Based K-Means Clustering
3.1 Locality Preserving Scatter Matrix and Distance Measure
3.2 The Proposed K-Means Clustering Algorithm
3.3 Discussion
3.3.1 Connection to the K-Means Algorithm Based on Mahalanobis Distance
3.3.2 The Singularity of the Locality Preserving Scatter Matrix
3.3.3 Time Complexity
4 Experimental Results
4.1 Artificial Dataset
4.2 UCI Datasets
4.3 USPS Dataset
5 Conclusion
Acknowledgments
References
Auroral Oval Boundary Modeling Based on Deep Learning Method
Abstract
1 Introduction
2 Restricted Bolzmann Machine
3 Boundary Modeling Method for Auroral Oval
4 Experiments
4.1 Database Construction
4.2 Experimental Results and Analysis
4.2.1 Experiment on Different Numbers of Hidden Layer Node in RBM
4.2.2 Experiment on Different Training Error of RBF Network
4.2.3 Comparison with BP Network
5 Conclusion
Acknowledgments
References
Study on Prediction Method of Quality Uncertainty in the Textile Processing Based on Data
Abstract
1 Objective
2 The Relationships Between Quality Fluctuation and Uncertainty Factor
2.1 Fluctuation Mechanism of Textile Quality
2.2 Fluctuation Regular of the Textile Quality
2.3 Interaction Mechanism of Quality Uncertainty
2.4 Behavior Identification of Quality Uncertainty
3 Experiment and Comparative Analysis
4 Conclusions
Acknowledgments
Verification of Hibernate Query Language by Abstract Interpretation
1 Introduction
2 Semantics of Query Languages
3 Semantics of Object-Oriented Programming (OOP)
3.1 Constructor and Method Semantics
3.2 Object and Class Semantics
4 Concrete Semantics of Hibernate Query Language
4.1 Syntax
4.2 Semantics
5 Verifying HQL Programs by Lifting Semantics from Concrete to Abstract Domains
6 Conclusions
References
An Efficient MapReduce Framework for Intel MIC Cluster
1 Introduction
2 Background
2.1 Intel MIC Architecture
2.2 MapReduce
3 Design and Implementation
3.1 The Overall Workflow
3.2 Memory Management Scheme
3.3 Asynchronous Task Transfer
4 Experimental Evaluation
4.1 Experimental Setup
4.2 Benchmark Implementation
4.3 Experimental Results
5 Conclusion and Future Work
References
A Novel K-harmonic Means Clustering Based on Enhanced Firefly Algorithm
Abstract
1 Introduction
2 K-Harmonic Means Clustering
3 The Enhanced Firefly Algorithm
3.1 Original Firefly Algorithm
3.2 Parallel Chaotic Local Search Firefly Algorithm
4 The Proposed Hybrid Clustering Algorithm
5 Experiment and Analysis
6 Conclusion
Acknowledgment
References
A Feature Selection Method Based on Feature Grouping and Genetic Algorithm
Abstract
1 Introduction
2 Methods
2.1 Symmetrical Uncertainty
2.2 Grouping Features
2.3 Searching the Optimal Feature Subset by GA
3 Results and Discussion
3.1 Performance Metrics
3.2 Experiment
3.3 Results and Discussion
4 Conclusions
Acknowledgments
References
Tuning GSP Parameters with GA
Abstract
1 Introduction
2 Related Work
3 Methodology
3.1 Generate Parameter Combinations
3.2 GSP Method
3.3 The Process of Generating New Chromosome
4 Empirical Analysis
4.1 Data Description and Experiment Design
4.2 Experiment Results
5 Conclusion and Future Research
5.1 Conclusion
5.2 Future Research
References
Event Recovery by Faster Truncated Nuclear Norm Minimization
1 Introduction
2 Related Work
2.1 Rank Minimization
2.2 Nuclear Norm Minimization
2.3 Truncated Nuclear Norm Minimization
3 Our Approach
3.1 Building Event Matrix From Collected Information
3.2 Learning the Event Matrix Using Truncated Nuclear Norm Minimization
3.3 Optimization
3.4 Early Stopping Stategy
4 Experiments
4.1 Data Set Description
4.2 Compared Methods
4.3 Evaluation Criterion
4.4 Results
5 Conclusion
References
Detecting Fake Review with Rumor Model---Case Study in Hotel Review
Abstract
1 Introduction
2 Related Work
2.1 Rumor Detection Model
2.2 Detecting Fake Review
3 System Design
3.1 Research Model
4 Empirical Analysis
4.1 Data Description and Preprocessing
4.2 Model Results
4.3 Model Comparison
5 Conclusion and Future Research
5.1 Conclusion
5.2 Future Research
References
Dynamic Multi-relational Networks Integration and Extended Link Prediction Method
Abstract
1 Introduction
2 Related Work
3 Multi-relational Networks Integration
3.1 Related Definition
3.2 Integration Method
3.3 Time Relation Networks
3.4 Reducing Integrated Network Dimension
4 Extended Link Prediction
4.1 Predicting Appearing of Missing Links
4.2 Predicting Disappearing of Spurious Links
5 Experimental Results and Analysis
5.1 Experimental Data Set
5.2 Experimental Results
6 Conclusions
Acknowledgments
References
Matrix Factorization Approach Based on Temporal Hierarchical Dirichlet Process
Abstract
1 Introduction
2 Related Work
3 Preliminaries
4 The tHDP-Based Approach
5 Experiments and Analysis
6 Conclusions
References
Efficient Location-Based Event Detection in Social Text Streams
Abstract
1 Introduction
2 Related Work
2.1 Social Event Detection
2.2 Event Location Extraction
3 Event Detection in Social Streams
3.1 Text Stream Clustering Based on LSH
3.2 Message-Mentioned Location Extraction
3.3 Similarity Measurement for Event Detection
4 Experiments and Evaluation
4.1 Evaluation of Message-Mentioned Location Extraction
4.2 Evaluation of Event Detection Based on LSH
5 Conclusions
Acknowledgements
References
Opposition-Based Backtracking Search Algorithm for Numerical Optimization Problems
Abstract
1 Introduction
2 Opposition-Based Backtracking Search Algorithms
2.1 Backtracking Search Algorithm
2.2 Opposition-Based Learning
2.3 Opposition-Based BSAs
3 Simulation Results and Discussion
3.1 Experimental Setup
3.2 Simulation Results and Discussion
4 Conclusion
Acknowledgments
References
Real Orthogonal STBC MC-CDMA Blind Recognition Based on DEM-Sparse Component Analysis
Abstract
1 Introduction
2 The Signal Model
3 Characteristic Parameters Extraction
3.1 The Characteristics of Virtual Channel Matrix
3.2 Characteristic Parameters Extraction
3.2.1 The Sparsity \theta Extraction
3.2.2 The Energy Ratio of Non-main and Main Diagonal Elements
4 Recognition Algorithm
5 Simulation and Results
5.1 N Estimation Analysis
5.2 Influence of Noise Analysis
5.3 Recognition Efficiency of Algorithm Analysis
6 Conclusion
Acknowledgment
References
Temporal Association Rule Mining
Abstract
1 Introduction
2 Temporal Association Rule Mining
3 MIST Algorithm
4 Hypothesis Testing
5 Case Study for US Stocks
6 Conclusions
Acknowledgments
References
Evaluating Diagnostic Performance of Machine Learning Algorithms on Breast Cancer
Abstract
1 Introduction
2 Literature Review
3 Materials and Methods
3.1 Wisconsin Breast Cancer Datasets (WBC) [12]
3.2 Data Mining Algorithms
4 Results and Discussion
5 Conclusion
References
Application of TOPO to the Multistage Batch Process Optimization of Gardenia Extracts
Abstract
1 Introduction
2 TOPO Fundamentals
2.1 The Optimization Target Setup
2.2 Expanding Process Modeling
2.3 Overall Process Optimization
3 Case Study
3.1 Process Description
3.2 Preprocessing of the Data
3.3 Development of Process Models
3.4 Simulated Optimization for the Control Set
4 Conclusions
References
An Efficient String Searching Algorithm Based on Occurrence Frequency and Pattern of Vowels and Consonants in a Pattern
Abstract
1 Introduction
2 Related Works
3 Description of OFRP Algorithm
3.1 Detailed Description of OFRP Algorithm
3.2 OFRP Algorithm
4 Conclusion
Acknowledgements
References
Neural Network Based PID Control for Quadrotor Aircraft
Abstract
1 Introduction
2 Dynamic Modeling for a Quadrotor
2.1 System Dynamics
2.2 Attitude Modeling
3 BPNN Based PID Control Strategy
4 Simulations
4.1 Attitude Model Validations
4.2 Attitude Control Simulations
5 Conclusions
Acknowledgments
References
GPU-Based Parameter Estimation Method for Photovoltaic Electrical Models
1 Introduction
2 Parameter Estimation of a Photovoltaic (PV) Electrical Model
2.1 Problem Formulation
2.2 Parameter Estimation Using Particle Swarm Optimization (PSO)
2.3 Implementation and Discussion of the GPU-Based PSO
3 Experimental Results and Analysis
4 Conclusion
References
MAD: A Monitor System for Big Data Applications
Abstract
1 Introduction
2 Architecture
3 MAD Components
3.1 Monitor Service
3.2 Measurement
3.3 Alerting
3.4 Diagnosis
4 Performance
5 Conclusion
References
Research on SQLite Database Encryption Technology in Instant Messaging Based on Android Platform
Abstract
1 Introduction
2 Related Work
2.1 Hardware Layer
2.2 Core Layer
2.3 Virtual Machine Layer
2.4 Application Framework Layer
3 Overall Security Mechanism of the Instant Messaging
4 SQLite Encryption Design
4.1 The Choice of Encryption Method
4.2 Encryption Interface Options
4.3 Encryption Algorithm Selection
5 SQLite Encryption Process
5.1 Separation of The Source Code
5.2 Modify the Source Code
5.3 Merge the Source Code
5.4 Compile the Source Code
5.5 Transplant the Source Code
6 Analysis of Experimental Results
7 Conclusion
References
Predicting Protein-Protein Interactions with Weighted PSSM Histogram and Random Forests
Abstract
1 Introduction
2 Materials and Methods
2.1 Benchmark Datasets
2.2 Feature Representation
2.2.1 Weighted PSSM Histogram (WHPSSM)
2.2.2 Averaged Cumulative Hydropathy (ACH)
2.2.3 Predicted Relative Solvent Accessibility (PRSA)
2.3 Random Forests Classifier
2.4 Evaluation
3 Result and Discussion
3.1 The WHPSSM Feature Is Effective
3.2 Comparisons with Existing Methods
3.2.1 Crossing Validation Comparisons on Dset186
3.2.2 Comparisons on Two Independent Test Datasets
4 Conclusion
References
Research on Multiple Files Input Programming Method Based on MapReduce
Abstract
1 Introduction
2 Hadoop Core Components
2.1 Distributed File System -- HDFS
2.2 Distributed Computing Framework - Mapreduce
3 Programming Model
4 Experiments
5 Conclusion
References
Fuzzy C-means Based on Cooperative QPSO with Learning Behavior
Abstract
1 Introduction
2 Fuzzy C-means Clustering Algorithm
3 Cooperative Quantum-Behaved Particle Swarm Optimization with Learning Behavior
3.1 Quantum-Behaved Particle Swarm Optimization
3.2 ``Survival of the Fittest'' Model and Learning Behavior
4 FCM Based on LCQPSO
4.1 Particle Encoding Method and Fitness Function
4.2 Detailed Procedure
5 Experiments
5.1 Performance Test
5.2 Complexity Test
6 Conclusion
Acknowledgments
References
Design for an Interference-Suppressing DMX512 Protocol Expansion and Repeater
Abstract
1 Introduction
2 DMX512 Protocol
2.1 Working Principle of DMX512 Protocol
2.2 Shortcomings of DMX512 Protocol
3 Expansion of Protocol and Relay Equipment Design
3.1 Expansion of DMX512 Protocol
3.2 Design of Interference Suppression Repeater
3.3 Hardware Implementation of Repeaters
3.4 Software Programming
3.5 Comprehensive Evaluation of Design Scheme
4 The Conclusion
Acknowledgements
References
A Convolutional Deep Neural Network for Coreference Resolution via Modeling Hierarchical Features
1 Introduction
2 A Convolutional Deep Neural Network for Coreference Resolution
2.1 Word Representation and Word Features
2.2 Mention Representation and Mention Features
2.3 Mention-Pair Representation
2.4 Pair Filter
2.5 Discourse Level Features
2.6 Output
2.7 Backpropagation Training
3 Experiments
3.1 Dataset and Evaluation Metric
3.2 Results of Comparison Experiments
4 Conclusion
References
Linear Feature Sensibility for Output Partitioning in Ordered Neural Incremental Attribute Learning
Abstract
1 Introduction
2 Preprocessing in Incremental Attribute Learning
2.1 Neural Incremental Attribute Learning
2.2 Fisher Linear Discriminant for Feature Ordered Training
2.3 ``One-Against-the-Rest'' and Output Partitioning
3 Feature Sensibility for Output Partitioning
3.1 Feature Discriminability for Multivariate Classification Problems
3.2 Feature Sensibility
4 Benchmarks
5 Conclusion
Acknowledgments
References
Survey on Visualization Layout for Big Data
1 Introduction
2 Graph Structure Analysis
2.1 The Aesthetic Standard
2.2 The Calculation of Edge Crossing Number
2.3 Graph Clustering Method
3 Graph Layout
3.1 Parallel Coordinates
3.2 Scatter Diagram
3.3 Tree Map
3.4 Other Layouts
4 Conclusion and Future Work
References
Common Latent Space Identification for Heterogeneous Co-transfer Clustering
1 Introduction
2 Common Latent Space Identification for Co-transfer Clustering
2.1 Problem Statement
2.2 Common Latent Space Identification
2.3 Heterogeneous Co-transfer Clustering
3 Optimization and Convergence Analysis
3.1 Optimization
3.2 Convergence Analysis
4 Experimental Results
4.1 Methodology
4.2 Results and Discussion
5 Conclusion
References
A Trusted Third Party-Based Key Agreement Scheme in Cloud Computing
Abstract
1 Introduction
2 System Architecture
3 Key Agreement Scheme
3.1 Register
3.2 Key Agreement Process
3.3 Unregister
4 Security Analysis
5 Conclusion
References
Semi-supervised Learning Based on Improved Co-training by Committee
Abstract
1 Introduction
2 Proposed Method
2.1 The Method Combining with Naïve Bayes
2.2 The Data Editing Technique
3 Experiments
3.1 Experimental Setting
3.2 Comparison Under Different Ensemble Sizes and Labeling Rates
3.3 Comparison with Different Values of Constant C
4 Conclusion
Acknowledgments
References
A New Algorithm for Discriminative Clustering and Its Maximum Entropy Extension
Abstract
1 Introduction
2 LDA, DC and DKM
3 An Efficient Framework for DC
4 Efficient Discriminative Maximum Entropy Clustering
4.1 WRTS + MEC and Discriminative Maximum Entropy Clustering
4.2 Relationships to Earlier Approaches
5 Experimental Results and Analysis
5.1 Experiment Setup
5.2 Clustering Evaluation
6 Conclusions
Acknowledgements
References
Multi-attribute Decision Making Under Risk Based on Third-Generation Prospect Theory
Abstract
1 Introduction
2 Prospect Theory and Rank-Dependent Utility
2.1 Prospect Theory
2.2 Rank-Dependent Utility and Cumulative Prospect Theory
2.3 Third-Generation Prospect Theory
2.3.1 Theoretical Background and Axiom System
2.3.2 Relative Value Function, Relative Weight Function and Relative Decision Function
3 Multi-attribute Decision Making Under Risk Based on PT3
4 Numerical Example
5 Conclusions
References
Research of Massive Data Caching Strategy Based on Key-Value Storage Model
Abstract
1 Introduction
2 The System Architecture Analysis and Improvement of Massive Data Access Caching Strategy
3 The Analysis and Design of Massive Data Caching Strategy Based on Key-Value Storage Model
3.1 The Analysis of Caching Strategy in SQL-SELECT
3.2 SQL-UPDATE and SQL-DELETE Analysis of Caching Strategy
3.3 The Design of Data Caching Strategy Based on Query Condition
3.4 The Problem of Hit Rate in Cache Strategy
4 Test and Evaluation on Massive Data Caching Scheme Based on Key-Value Storage Model
4.1 Design of Test Method for Caching Scheme
4.2 Test Performance Evaluation of Caching Scheme
5 Conclusion
Acknowledgment
References
Trajectory Optimization for Cooperative Air Combat Engagement Based on Receding Horizon Control
Abstract
1 Introduction
2 Concept of Cooperative Tactical Maneuver for Dual Fighters
3 Optimum Control Model of Cooperative Maneuver for Dual Fighters
3.1 System Dynamic Equations
3.2 Control Vector and Constraint
3.3 Index Function
3.4 Terminal Condition
4 Receding Horizon Control and Its Numerical Solution
4.1 The Basic Idea of RHC
4.2 Third Order Simpson Direct Collocation Method
5 The Approximation of Index Function with Neural Network Method
6 Simulation Analysis
7 Conclusion
References
Graph-Based Semi-Supervised Learning on Evolutionary Data
1 Introduction
2 GSSLE for Evolutionary Data Learning
2.1 Basic Settings
2.2 Graph Building and Evolutionary Smoothness Assumption
2.3 The Objective Function
2.4 Algorithm Analysis
2.5 Existence of Solution
2.6 Generalization to Dynamic Feature Space
3 Experiment
3.1 Introduction to Dataset and Feature Extraction
3.2 Settings
3.3 Results
4 Conclusion
References
Predicting Drug-Target Interactions Between New Drugs and New Targets via Pairwise K-nearest Neighbor and Automatic Similarity Selection
Abstract
1 Introduction
2 Method
2.1 K Nearest Neighbor Algorithm
2.2 ``Super'' Operation
2.3 Predicting DTI by Pairwise KNN
2.4 Similarities and Automatic Selection Among Similarities
2.5 Assessment
3 Experiments
3.1 Benchmark Datasets
3.2 Comparison with the State-of-the-Art Work
3.3 The Effective Combination of Different Similarities
4 Conclusion
Acknowledgments
References
A Novel Complex-Events Analytical System Using Episode Pattern Mining Techniques
Abstract
1 Introduction
2 Problem Definitions and Related Work
2.1 Definitions
2.2 Related Work
3 The Proposed System
3.1 Data Preprocessing
3.2 Pattern Mining
3.3 Rule Management
4 Experimental Evaluation
4.1 Dataset
4.2 Experiment Results
5 Conclusion and Future Works
References
A New Method to Finding All Nash Equilibria
1 Introduction
2 A New Formulation for All Nash Equilibria of a Finite Game
3 The Approximation of the New Formulation
3.1 A Good Approximation of y=x1x2
3.2 A Mixed-Integer Linear Programming Formulation of All Nash Equilibria of a Finite Game
4 Conclusions and Future Work
References
A Set of Metrics for Measuring Interestingness of Theorems in Automated Theorem Finding by Forward Reasoning: A Case Study in NBG Set Theory
1 Introduction
2 Basic Notions and Notations
3 Factors Related to Interestingness of Theorems
4 A Set of Metrics for Measuring Interestingness of Theorems
5 Case Study in NBG Set Theory
6 Concluding Remarks
References
Multiview Correlation Feature Learning with Multiple Kernels
Abstract
1 Introduction
2 Review on Kernel MCCA
3 Multiple Kernel Multiview Correlation Feature Learning
3.1 Formulation with Multiple Kernels
3.2 Solution
4 Experimental Results
4.1 Candidate Kernels
4.2 Experiment Using the AT&T Database
4.3 Experiment Using the Yale Database
4.4 Experiment Using Multiple Feature Dataset
5 Conclusions
Acknowledgments
References
CRF-TM: A Conditional Random Field Method for Predicting Transmembrane Topology
Abstract
1 Introduction
2 Materials and Methods
2.1 Data Sets
2.2 Conditional Random Fields
2.3 Predicting TM Topology Based on CRF
3 Results and Discussion
3.1 The Size of Window Affects the Results Less
3.2 Comparison with Other Ten Wide-Used Predictors on TMPDB106
3.3 The Performance on PDBTM472
3.4 Cross Validation on Different Data Sets
3.5 Case Study on Predicting 3D Structures Using CRF-TM Results
4 Conclusions
Acknowledgments
References
Bootstrapped Integrative Hypothesis Test, COPD-Lung Cancer Differentiation, and Joint miRNAs Biomarkers
Abstract
1 Introduction
2 Methods
2.1 Integrative Hypothesis Tests
2.2 Rank Bootstrapping
3 Empirical Results
4 Conclusion
Acknowledgment
References
Research of Traffic Flow Forecasting Based on the Information Fusion of BP Network Sequence
Abstract
1 Introduction
2 Information Fusion and Artificial Neural Network
3 Information Fusion Design Based on Neural Network
3.1 Data Preprocessing
3.2 BP Network Structure and Network Training
3.3 Traffic Parameter Estimation
4 The Experimental Results and Analysis
4.1 Results Analysis of BP Neural Network
4.2 Comparative Analysis of Several Forecasting Methods
4.2.1 Historical Trend Method
4.2.2 Multivariate Linear Statistical Regression
4.2.3 Time Series Forecasting Method
5 Conclusion
References
A Consistent Hashing Based Data Redistribution Algorithm
1 Introduction
2 Consistent Hashing Algorithm
3 Data Redistribution
3.1 Definition of Terms
3.2 Algorithms in CHRA
4 Simulation
5 Conclusion
References
Semantic Parsing Using Hierarchical Concept Base
1 Introduction
2 Concept Base
3 Meaning Representation
3.1 Semantic Tree
3.2 Computation
4 Construction
5 Semantic Parsing
6 Experiments and Results
7 Conclusion
References
Semantic Parsing Using Construction Categorization
1 Introduction
2 Background
2.1 Hierarchical Concept Base
2.2 Meaning Representation
2.3 Construction
2.4 Semantic Parsing
3 Construction Categorization
3.1 Augmented Concept Base
3.2 Categorized Constructions
4 Experiments and Results
5 Conclusion
References
Tunable Discounting Mechanisms for Language Modeling
1 Introduction
2 Language Models
2.1 Modified Kneser-Ney Model
2.2 Tunable KN Model
2.3 Domain Adaptation Model
2.4 Polynomial Discounting KN Model
2.5 Tunable and Polynomial Discounting KN Model
3 Experimental Setup
3.1 Corpora
3.2 Setup
4 Experimental Results and Discussion
4.1 In-domain Language Model Perplexity
4.2 Cross-Domain Language Model Perplexity
5 Conclusion
References
Understanding Air Quality Challenges Through Simulation and Big Data Science for Low-Load Homes
Abstract
1 Introduction
2 Literature Review
3 Objectives
4 Methodology
5 Big Data Analysis
6 Conclusion
References
Initial Seeds Selection in Dynamic Clustering Method Based on Data Depth
1 Introduction
2 Clustering Algorithm Based on Cohesion
2.1 Atomic Models and Data Depth
2.2 Cohesion
3 Results on Experiments
3.1 Designed Data Sets
3.2 Real Sample
4 Conclusion
References
The Data Quality Evaluation that Under the Background of Wisdom City
Abstract
1 Introduction
1.1 Research Background
1.2 Research Significance
2 Model and Definition
2.1 Data Quality Measurement Model
2.1.1 Problem Formalization
2.1.2 The Model of Quality Attributes Assessment
3 Experimental Analysis
3.1 QoI Assessment
3.2 Result Analysis
3.2.1 Certainty Evaluation
3.2.2 Accuracy Assessment
3.2.3 Real-Time Assessment
3.2.4 Information Quality Attributes Aggregation
4 Conclusion and Future Work
References
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