Advanced Data Mining and Applications

8th International Conference, ADMA 2012, Nanjing, China, December 15-18, 2012. Proceedings

Editors:

ISBN: 978-3-642-35526-4 (Print) 978-3-642-35527-1 (Online)

Table of contents (64 chapters)

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  1. Front Matter

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  2. Social Media Mining

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      Pages 1-14

      Leave or Stay: The Departure Dynamics of Wikipedia Editors

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      Pages 15-26

      Cross-Modal Information Retrieval – A Case Study on Chinese Wikipedia

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      Pages 27-38

      Unsupervised Learning Chinese Sentiment Lexicon from Massive Microblog Data

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      Pages 39-51

      Community Extraction Based on Topic-Driven-Model for Clustering Users Tweets

  3. Clustering

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      Pages 52-63

      Constrained Spectral Clustering Using Absorbing Markov Chains

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      Pages 64-77

      Inducing Taxonomy from Tags: An Agglomerative Hierarchical Clustering Framework

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      Pages 78-90

      Personalized Clustering for Social Image Search Results Based on Integration of Multiple Features

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      Pages 91-99

      Query Directed Web Page Clustering Using Suffix Tree and Wikipedia Links

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      Pages 100-114

      Mining Fuzzy Moving Object Clusters

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      Pages 115-126

      Exemplars-Constraints for Semi-supervised Clustering

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      Pages 127-137

      Customer Segmentation for Power Enterprise Based on Enhanced-FCM Algorithm

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      Pages 138-148

      A MapReduce-Based Parallel Clustering Algorithm for Large Protein-Protein Interaction Networks

  4. Machine Learning: Algorithms and Applications

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      Pages 149-160

      A New Manifold Learning Algorithm Based on Incremental Spectral Decomposition

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      Pages 161-172

      Sparse Boosting with Correlation Based Penalty

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      Pages 173-185

      Learning from Multiple Naive Annotators

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      Pages 186-198

      Query by Committee in a Heterogeneous Environment

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      Pages 199-213

      Variational Learning of Dirichlet Process Mixtures of Generalized Dirichlet Distributions and Its Applications

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      Pages 214-222

      A New Multi-label Learning Algorithm Using Shelly Neighbors

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      Pages 223-234

      Kernel Mean Matching with a Large Margin

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      Pages 235-246

      Properly and Automatically Naming Java Methods: A Machine Learning Based Approach

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