Advances in Knowledge Discovery and Data Mining

18th Pacific-Asia Conference, PAKDD 2014, Tainan, Taiwan, May 13-16, 2014. Proceedings, Part I

ISBN: 978-3-319-06607-3 (Print) 978-3-319-06608-0 (Online)

Table of contents (50 chapters)

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  1. Front Matter

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  2. Pattern Mining

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      Pages 1-14

      MalSpot: Multi 2 Malicious Network Behavior Patterns Analysis

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      Pages 15-27

      Extracting Diverse Patterns with Unbalanced Concept Hierarchy

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      Pages 28-39

      Efficiently Depth-First Minimal Pattern Mining

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      Pages 40-52

      Fast Vertical Mining of Sequential Patterns Using Co-occurrence Information

  3. Social Network and Social Media

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      Pages 53-64

      Balancing the Analysis of Frequent Patterns

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      Pages 65-77

      Balanced Seed Selection for Budgeted Influence Maximization in Social Networks

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      Pages 78-89

      Persistent Community Detection in Dynamic Social Networks

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      Pages 90-101

      Detecting and Analyzing Influenza Epidemics with Social Media in China

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      Pages 102-113

      Analyzing Location Predictability on Location-Based Social Networks

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      Pages 114-125

      ReadBehavior: Reading Probabilities Modeling of Tweets via the Users’ Retweeting Behaviors

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      Pages 126-138

      Inferring Strange Behavior from Connectivity Pattern in Social Networks

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      Pages 139-150

      Inferring Attitude in Online Social Networks Based on Quadratic Correlation

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      Pages 151-162

      Hash-Based Stream LDA: Topic Modeling in Social Streams

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      Pages 163-175

      Two Sides of a Coin: Separating Personal Communication and Public Dissemination Accounts in Twitter

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      Pages 176-187

      Latent Features Based Prediction on New Users’ Tastes

  4. Classification

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      Pages 188-199

      Supervised Nonlinear Factorizations Excel In Semi-supervised Regression

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      Pages 200-211

      Learning from Crowds under Experts’ Supervision

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      Pages 212-223

      A Robust Classifier for Imbalanced Datasets

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      Pages 224-236

      Signed-Error Conformal Regression

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      Pages 237-248

      Multi-Instance Learning from Positive and Unlabeled Bags

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