Advances in Knowledge Discovery and Data Mining

Table of Contents

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   Book Overview
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   Chapter 1 Advances in Knowledge Discovery and Data Mining
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   Chapter 2 Product and User Dependent Social Network Models for Recommender Systems
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   Chapter 3 Learning Representative Nodes in Social Networks
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   Chapter 4 Tracing Influential Nodes in a Social Network with Competing Information
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   Chapter 5 ViStruclizer: A Structural Visualizer for Multi-dimensional Social Networks
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   Chapter 6 Influential Nodes in a One-Wave Diffusion Model for Location-Based Social Networks
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   Chapter 7 Modeling Social Information Learning among Taxi Drivers
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   Chapter 8 Mining User Interests from Information Sharing Behaviors in Social Media
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    Chapter 9 Anonymization for Multiple Released Social Network Graphs
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    Chapter 10 A New, Fast and Accurate Algorithm for Hierarchical Clustering on Euclidean Distances
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    Chapter 11 Clustering Patient Medical Records via Sparse Subspace Representation
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    Chapter 12 A Unified Metric for Categorical and Numerical Attributes in Data Clustering
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    Chapter 13 An Extension of the Infinite Relational Model Incorporating Interaction between Objects
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    Chapter 14 Density-Based Clustering Based on Hierarchical Density Estimates
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    Chapter 15 Stock Trend Prediction by Classifying Aggregative Web Topic-Opinion
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    Chapter 16 The Role of Hubs in Cross-Lingual Supervised Document Retrieval
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    Chapter 17 Text Document Topical Recursive Clustering and Automatic Labeling of a Hierarchy of Document Clusters
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    Chapter 18 Query-Document Relevance Topic Models
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    Chapter 19 Advances in Knowledge Discovery and Data Mining
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    Chapter 20 Effective Top-Down Active Learning for Hierarchical Text Classification
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    Chapter 21 Forgetting Word Segmentation in Chinese Text Classification with L1-Regularized Logistic Regression
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    Chapter 22 Crest: Cluster-based Representation Enrichment for Short Text Classification
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    Chapter 23 Cross Language Prediction of Vandalism on Wikipedia Using Article Views and Revisions
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    Chapter 24 An Optimized Cost-Sensitive SVM for Imbalanced Data Learning
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    Chapter 25 A Positive-biased Nearest Neighbour Algorithm for Imbalanced Classification
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    Chapter 26 Class Based Weighted K-Nearest Neighbor over Imbalance Dataset
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    Chapter 27 ProWSyn: Proximity Weighted Synthetic Oversampling Technique for Imbalanced Data Set Learning
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    Chapter 28 Differential Privacy Preserving Spectral Graph Analysis
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    Chapter 29 Sorted Nearest Neighborhood Clustering for Efficient Private Blocking
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    Chapter 30 On Linear Refinement of Differential Privacy-Preserving Query Answering
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    Chapter 31 A Coupled Clustering Approach for Items Recommendation
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    Chapter 32 Location Recommendation Based on Periodicity of Human Activities and Location Categories
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    Chapter 33 Advances in Knowledge Discovery and Data Mining
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    Chapter 34 Semantic Title Evaluation and Recommendation Based on Topic Models
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    Chapter 35 Video Quality Prediction over Wireless 4G
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    Chapter 36 A Self-immunizing Manifold Ranking for Image Retrieval
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    Chapter 37 Low-Rank Matrix Recovery with Discriminant Regularization
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    Chapter 38 Multi-Manifold Ranking: Using Multiple Features for Better Image Retrieval
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    Chapter 39 One Pass Concept Change Detection for Data Streams
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    Chapter 40 Incremental Mining of Significant URLs in Real-Time and Large-Scale Social Streams
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    Chapter 41 A Concept-Drifting Detection Algorithm for Categorical Evolving Data
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    Chapter 42 Framework for Storing and Processing Relational Entities in Stream Mining
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    Chapter 43 Advances in Knowledge Discovery and Data Mining
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    Chapter 44 Matrix Factorization With Aggregated Observations
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    Chapter 45 An Approach to Identifying False Traces in Process Event Logs
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    Chapter 46 Split-Merge Augmented Gibbs Sampling for Hierarchical Dirichlet Processes
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    Chapter 47 Adaptive Temporal Entity Resolution on Dynamic Databases
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    Chapter 48 Fuzzy Multi-Sphere Support Vector Data Description
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    Chapter 49 Erratum: A Coupled Clustering Approach for Items Recommendation