Table of Contents

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   Book Overview
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   Chapter 1 Research Frontiers in Advanced Data Mining Technologies and Applications
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   Chapter 2 Finding the Real Patterns
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   Chapter 3 Class Noise vs Attribute Noise: Their Impacts, Detection and Cleansing
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   Chapter 4 Multi-modal and Multi-granular Learning
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   Chapter 5 Hierarchical Density-Based Clustering of Categorical Data and a Simplification
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   Chapter 6 Multi-represented Classification Based on Confidence Estimation
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   Chapter 7 Selecting a Reduced Set for Building Sparse Support Vector Regression in the Primal
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   Chapter 8 Mining Frequent Itemsets from Uncertain Data
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    Chapter 9 QC4 - A Clustering Evaluation Method
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    Chapter 10 Semantic Feature Selection for Object Discovery in High-Resolution Remote Sensing Imagery
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    Chapter 11 Deriving Private Information from Arbitrarily Projected Data
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    Chapter 12 Consistency Based Attribute Reduction
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    Chapter 13 A Hybrid Command Sequence Model for Anomaly Detection
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    Chapter 14 σ - Algorithm : Structured Workflow Process Mining Through Amalgamating Temporal Workcases
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    Chapter 15 Multiscale BiLinear Recurrent Neural Network for Prediction of MPEG Video Traffic
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    Chapter 16 An Effective Multi-level Algorithm Based on Ant Colony Optimization for Bisecting Graph
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    Chapter 17 A Unifying Method for Outlier and Change Detection from Data Streams Based on Local Polynomial Fitting
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    Chapter 18 Simultaneous Tuning of Hyperparameter and Parameter for Support Vector Machines
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    Chapter 19 Entropy Regularization, Automatic Model Selection, and Unsupervised Image Segmentation
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    Chapter 20 A Timing Analysis Model for Ontology Evolutions Based on Distributed Environments
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    Chapter 21 An Optimum Random Forest Model for Prediction of Genetic Susceptibility to Complex Diseases
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    Chapter 22 Feature Based Techniques for Auto-Detection of Novel Email Worms
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    Chapter 23 Multiresolution-Based BiLinear Recurrent Neural Network
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    Chapter 24 Query Expansion Using a Collection Dependent Probabilistic Latent Semantic Thesaurus
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    Chapter 25 Scaling Up Semi-supervised Learning: An Efficient and Effective LLGC Variant
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    Chapter 26 A Machine Learning Approach to Detecting Instantaneous Cognitive States from fMRI Data
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    Chapter 27 Discovering Correlated Items in Data Streams
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    Chapter 28 Incremental Clustering in Geography and Optimization Spaces
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    Chapter 29 Estimation of Class Membership Probabilities in the Document Classification
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    Chapter 30 A Hybrid Multi-group Privacy-Preserving Approach for Building Decision Trees
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    Chapter 31 A Constrained Clustering Approach to Duplicate Detection Among Relational Data
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    Chapter 32 Understanding Research Field Evolving and Trend with Dynamic Bayesian Networks
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    Chapter 33 Embedding New Data Points for Manifold Learning Via Coordinate Propagation
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    Chapter 34 Spectral Clustering Based Null Space Linear Discriminant Analysis (SNLDA)
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    Chapter 35 On a New Class of Framelet Kernels for Support Vector Regression and Regularization Networks
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    Chapter 36 A Clustering Algorithm Based on Mechanics
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    Chapter 37 DLDA/QR: A Robust Direct LDA Algorithm for Face Recognition and Its Theoretical Foundation
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    Chapter 38 gPrune: A Constraint Pushing Framework for Graph Pattern Mining
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    Chapter 39 Modeling Anticipatory Event Transitions
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    Chapter 40 A Modified Relationship Based Clustering Framework for Density Based Clustering and Outlier Filtering on High Dimensional Datasets
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    Chapter 41 A Region-Based Skin Color Detection Algorithm
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    Chapter 42 Supportive Utility of Irrelevant Features in Data Preprocessing
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    Chapter 43 Incremental Mining of Sequential Patterns Using Prefix Tree
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    Chapter 44 A Multiple Kernel Support Vector Machine Scheme for Simultaneous Feature Selection and Rule-Based Classification
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    Chapter 45 Combining Supervised and Semi-supervised Classifier for Personalized Spam Filtering
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    Chapter 46 Qualitative Simulation and Reasoning with Feature Reduction Based on Boundary Conditional Entropy of Knowledge
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    Chapter 47 A Hybrid Incremental Clustering Method-Combining Support Vector Machine and Enhanced Clustering by Committee Clustering Algorithm
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    Chapter 48 CCRM: An Effective Algorithm for Mining Commodity Information from Threaded Chinese Customer Reviews
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    Chapter 49 A Rough Set Approach to Classifying Web Page Without Negative Examples
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    Chapter 50 Evolution and Maintenance of Frequent Pattern Space When Transactions Are Removed
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    Chapter 51 Establishing Semantic Relationship in Inter-query Learning for Content-Based Image Retrieval Systems
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    Chapter 52 Density-Sensitive Evolutionary Clustering
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    Chapter 53 Reducing Overfitting in Predicting Intrinsically Unstructured Proteins
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    Chapter 54 Temporal Relations Extraction in Mining Hepatitis Data
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    Chapter 55 Supervised Learning Approach to Optimize Ranking Function for Chinese FAQ-Finder
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    Chapter 56 Combining Convolution Kernels Defined on Heterogeneous Sub-structures
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    Chapter 57 Privacy-Preserving Sequential Pattern Release
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    Chapter 58 Mining Concept Associations for Knowledge Discovery Through Concept Chain Queries
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    Chapter 59 Capability Enhancement of Probabilistic Neural Network for the Design of Breakwater Armor Blocks
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    Chapter 60 Named Entity Recognition Using Acyclic Weighted Digraphs: A Semi-supervised Statistical Method
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    Chapter 61 Contrast Set Mining Through Subgroup Discovery Applied to Brain Ischaemina Data
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    Chapter 62 Intelligent Sequential Mining Via Alignment: Optimization Techniques for Very Large DB
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    Chapter 63 A Hybrid Prediction Method Combining RBF Neural Network and FAR Model
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    Chapter 64 An Advanced Fuzzy C-Mean Algorithm for Regional Clustering of Interconnected Systems
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    Chapter 65 Centroid Neural Network with Bhattacharyya Kernel for GPDF Data Clustering
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    Chapter 66 Concept Interconnection Based on Many-Valued Context Analysis
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    Chapter 67 Text Classification for Thai Medicinal Web Pages
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    Chapter 68 Advances in Knowledge Discovery and Data Mining
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    Chapter 69 Application of Discrimination Degree for Attributes Reduction in Concept Lattice
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    Chapter 70 A Language and a Visual Interface to Specify Complex Spatial Patterns
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    Chapter 71 Clustering Ensembles Based on Normalized Edges
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    Chapter 72 Quantum-Inspired Immune Clonal Multiobjective Optimization Algorithm
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    Chapter 73 Phase Space Reconstruction Based Classification of Power Disturbances Using Support Vector Machines
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    Chapter 74 Mining the Impact Factors of Threads and Participators on Usenet Using Link Analysis
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    Chapter 75 Weighted Rough Set Learning: Towards a Subjective Approach
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    Chapter 76 Multiple Self-Splitting and Merging Competitive Learning Algorithm
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    Chapter 77 A Novel Relative Space Based Gene Feature Extraction and Cancer Recognition
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    Chapter 78 Experiments on Kernel Tree Support Vector Machines for Text Categorization
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    Chapter 79 A New Approach for Similarity Queries of Biological Sequences in Databases
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    Chapter 80 Anomaly Intrusion Detection Based on Dynamic Cluster Updating
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    Chapter 81 Efficiently Mining Closed Constrained Frequent Ordered Subtrees by Using Border Information
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    Chapter 82 Approximate Trace of Grid-Based Clusters over High Dimensional Data Streams
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    Chapter 83 BRIM: An Efficient Boundary Points Detecting Algorithm
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    Chapter 84 Syntactic Impact on Sentence Similarity Measure in Archive-Based QA System
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    Chapter 85 Semi-structure Mining Method for Text Mining with a Chunk-Based Dependency Structure
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    Chapter 86 Principal Curves with Feature Continuity
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    Chapter 87 Kernel-Based Linear Neighborhood Propagation for Semantic Video Annotation
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    Chapter 88 Learning Bayesian Networks with Combination of MRMR Criterion and EMI Method
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    Chapter 89 A Cooperative Coevolution Algorithm of RBFNN for Classification
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    Chapter 90 ANGEL: A New Effective and Efficient Hybrid Clustering Technique for Large Databases
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    Chapter 91 Exploring Group Moving Pattern for an Energy-Constrained Object Tracking Sensor Network
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    Chapter 92 ProMail: Using Progressive Email Social Network for Spam Detection
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    Chapter 93 Multidimensional Decision Support Indicator (mDSI) for Time Series Stock Trend Prediction
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    Chapter 94 A Novel Support Vector Machine Ensemble Based on Subtractive Clustering Analysis
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    Chapter 95 Keyword Extraction Based on PageRank
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    Chapter 96 Finding the Optimal Feature Representations for Bayesian Network Learning
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    Chapter 97 Feature Extraction and Classification of Tumor Based on Wavelet Package and Support Vector Machines
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    Chapter 98 Resource Allocation and Scheduling Problem Based on Genetic Algorithm and Ant Colony Optimization
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     Chapter 99 Image Classification and Segmentation for Densely Packed Aggregates
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     Chapter 100 Mining Temporal Co-orientation Pattern from Spatio-temporal Databases
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     Chapter 101 Incremental Learning of Support Vector Machines by Classifier Combining
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     Chapter 102 Clustering Zebrafish Genes Based on Frequent-Itemsets and Frequency Levels
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     Chapter 103 A Practical Method for Approximate Subsequence Search in DNA Databases
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     Chapter 104 An Information Retrieval Model Based on Semantics
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     Chapter 105 AttributeNets: An Incremental Learning Method for Interpretable Classification
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     Chapter 106 Mining Personalization Interest and Navigation Patterns on Portal
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     Chapter 107 Cross-Lingual Document Clustering
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     Chapter 108 Grammar Guided Genetic Programming for Flexible Neural Trees Optimization
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     Chapter 109 A New Initialization Method for Clustering Categorical Data
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     Chapter 110 L0-Constrained Regression for Data Mining
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     Chapter 111 Application of Hybrid Pattern Recognition for Discriminating Paddy Seeds of Different Storage Periods Based on Vis/NIRS
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     Chapter 112 Density-Based Data Clustering Algorithms for Lower Dimensions Using Space-Filling Curves
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     Chapter 113 Transformation-Based GMM with Improved Cluster Algorithm for Speaker Identification
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     Chapter 114 Using Social Annotations to Smooth the Language Model for IR
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     Chapter 115 Affection Factor Optimization in Data Field Clustering
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     Chapter 116 A New Algorithm for Minimum Attribute Reduction Based on Binary Particle Swarm Optimization with Vaccination
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     Chapter 117 Graph Nodes Clustering Based on the Commute-Time Kernel
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     Chapter 118 Identifying Synchronous and Asynchronous Co-regulations from Time Series Gene Expression Data
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     Chapter 119 A Parallel Algorithm for Learning Bayesian Networks
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     Chapter 120 Incorporating Prior Domain Knowledge into a Kernel Based Feature Selection Algorithm
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     Chapter 121 Geo-spatial Clustering with Non-spatial Attributes and Geographic Non-overlapping Constraint: A Penalized Spatial Distance Measure
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     Chapter 122 GBKII: An Imputation Method for Missing Values
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     Chapter 123 An Effective Gene Selection Method Based on Relevance Analysis and Discernibility Matrix
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     Chapter 124 Towards Comprehensive Privacy Protection in Data Clustering
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     Chapter 125 A Novel Spatial Clustering with Obstacles Constraints Based on Particle Swarm Optimization and K-Medoids
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     Chapter 126 Online Rare Events Detection
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     Chapter 127 Structural Learning About Independence Graphs from Multiple Databases
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     Chapter 128 An Effective Method For Calculating Natural Adjacency Relation in Spatial Database
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     Chapter 129 K-Centers Algorithm for Clustering Mixed Type Data
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     Chapter 130 Proposion and Analysis of a TCP Feature of P2P Traffic