Table of Contents

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   Book Overview
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   Chapter 1 Leave or Stay: The Departure Dynamics of Wikipedia Editors
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   Chapter 2 Cross-Modal Information Retrieval – A Case Study on Chinese Wikipedia
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   Chapter 3 Unsupervised Learning Chinese Sentiment Lexicon from Massive Microblog Data
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   Chapter 4 Community Extraction Based on Topic-Driven-Model for Clustering Users Tweets
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   Chapter 5 Constrained Spectral Clustering Using Absorbing Markov Chains
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   Chapter 6 Inducing Taxonomy from Tags: An Agglomerative Hierarchical Clustering Framework
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   Chapter 7 Personalized Clustering for Social Image Search Results Based on Integration of Multiple Features
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   Chapter 8 Query Directed Web Page Clustering Using Suffix Tree and Wikipedia Links
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    Chapter 9 Mining Fuzzy Moving Object Clusters
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    Chapter 10 Exemplars-Constraints for Semi-supervised Clustering
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    Chapter 11 Customer Segmentation for Power Enterprise Based on Enhanced-FCM Algorithm
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    Chapter 12 A MapReduce-Based Parallel Clustering Algorithm for Large Protein-Protein Interaction Networks
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    Chapter 13 A New Manifold Learning Algorithm Based on Incremental Spectral Decomposition
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    Chapter 14 Sparse Boosting with Correlation Based Penalty
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    Chapter 15 Learning from Multiple Naive Annotators
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    Chapter 16 Query by Committee in a Heterogeneous Environment
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    Chapter 17 Variational Learning of Dirichlet Process Mixtures of Generalized Dirichlet Distributions and Its Applications
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    Chapter 18 A New Multi-label Learning Algorithm Using Shelly Neighbors
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    Chapter 19 Kernel Mean Matching with a Large Margin
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    Chapter 20 Properly and Automatically Naming Java Methods: A Machine Learning Based Approach
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    Chapter 21 Advanced Data Mining and Applications
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    Chapter 22 Semi-naive Bayesian Classification by Weighted Kernel Density Estimation
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    Chapter 23 Spectral Clustering-Based Semi-supervised Sentiment Classification
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    Chapter 24 Automatic Filtering of Valuable Features for Text Categorization
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    Chapter 25 A Feature Selection Method for Improved Document Classification
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    Chapter 26 An Ensemble Approach to Multi-label Classification of Textual Data
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    Chapter 27 Hierarchical Text Classification for News Articles Based-on Named Entities
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    Chapter 28 Document-Level Sentiment Classification Based on Behavior-Knowledge Space Method
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    Chapter 29 NAP-SC: A Neural Approach for Prediction over Sparse Cubes
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    Chapter 30 Semi-supervised Gaussian Process Regression and Its Feedback Design
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    Chapter 31 A Graph-Based Churn Prediction Model for Mobile Telecom Networks
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    Chapter 32 Facial Action Unit and Emotion Recognition with Head Pose Variations
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    Chapter 33 Use of Supervised Learning to Predict Directionality of Links in a Network
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    Chapter 34 Predicting Driving Direction with Weighted Markov Model
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    Chapter 35 Pattern Mining, Semantic Label Identification and Movement Prediction Using Mobile Phone Data
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    Chapter 36 Using Partially-Ordered Sequential Rules to Generate More Accurate Sequence Prediction
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    Chapter 37 Particle Swarm Optimization of Information-Content Weighting of Symbolic Aggregate Approximation
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    Chapter 38 Fast Nyström for Low Rank Matrix Approximation
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    Chapter 39 An Enhanced Class-Attribute Interdependence Maximization Discretization Algorithm
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    Chapter 40 Towards Normalizing the Edit Distance Using a Genetic Algorithms–Based Scheme
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    Chapter 41 PCG: An Efficient Method for Composite Pattern Matching over Data Streams
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    Chapter 42 Visual Fingerprinting: A New Visual Mining Approach for Large-Scale Spatio-temporal Evolving Data
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    Chapter 43 Stock Trend Extraction via Matrix Factorization
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    Chapter 44 Stock Price Forecasting with Support Vector Machines Based on Web Financial Information Sentiment Analysis
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    Chapter 45 Automated Web Data Mining Using Semantic Analysis
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    Chapter 46 Geospatial Data Mining on the Web: Discovering Locations of Emergency Service Facilities
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    Chapter 47 Summarizing Semantic Associations Based on Focused Association Graph
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    Chapter 48 News Sentiment Analysis Based on Cross-Domain Sentiment Word Lists and Content Classifiers
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    Chapter 49 Integrating Data Mining and Optimization Techniques on Surgery Scheduling
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    Chapter 50 Using Data Mining for Static Code Analysis of C
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    Chapter 51 Fraud Detection in B2B Platforms Using Data Mining Techniques
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    Chapter 52 Efficiently Identifying Duplicated Chinese Company Names in Large-Scale Registration Database
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    Chapter 53 Keyword Graph: Answering Keyword Search over Large Graphs
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    Chapter 54 Medical Image Retrieval Method Based on Relevance Feedback
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    Chapter 55 Personalized Diversity Search Based on User’s Social Relationships
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    Chapter 56 Towards a Tricksy Group Shilling Attack Model against Recommender Systems
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    Chapter 57 Topic-Centric Recommender Systems for Bibliographic Datasets
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    Chapter 58 Combining Spatial Cloaking and Dummy Generation for Location Privacy Preserving
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    Chapter 59 Modeling Outlier Score Distributions
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    Chapter 60 A Hybrid Anomaly Detection Framework in Cloud Computing Using One-Class and Two-Class Support Vector Machines
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    Chapter 61 Residual Belief Propagation for Topic Modeling
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    Chapter 62 The Author-Topic-Community Model: A Generative Model Relating Authors’ Interests and Their Community Structure
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    Chapter 63 Constrained Closed Non Derivable Data Cubes
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    Chapter 64 VS-Cube: Analyzing Variations of Multi-dimensional Patterns over Data Streams