Advanced Data Mining and Applications

9th International Conference, ADMA 2013, Hangzhou, China, December 14-16, 2013, Proceedings, Part II

ISBN: 978-3-642-53916-9 (Print) 978-3-642-53917-6 (Online)

Table of contents (47 chapters)

previous Page of 3
  1. Front Matter

    Pages -

  2. Clustering

    1. No Access

      Book Chapter

      Pages 1-12

      Semi-supervised Clustering Ensemble Evolved by Genetic Algorithm for Web Video Categorization

    2. No Access

      Book Chapter

      Pages 13-24

      A Scalable Approach for General Correlation Clustering

    3. No Access

      Book Chapter

      Pages 25-33

      A Fast Spectral Clustering Method Based on Growing Vector Quantization for Large Data Sets

    4. No Access

      Book Chapter

      Pages 34-46

      A Novel Deterministic Sampling Technique to Speedup Clustering Algorithms

    5. No Access

      Book Chapter

      Pages 47-58

      Software Clustering Using Automated Feature Subset Selection

    6. No Access

      Book Chapter

      Pages 59-70

      The Use of Transfer Algorithm for Clustering Categorical Data

    7. No Access

      Book Chapter

      Pages 71-82

      eDARA: Ensembles DARA

    8. No Access

      Book Chapter

      Pages 83-94

      Efficient Mining Maximal Variant and Low Usage Rate Biclusters without Candidate Maintenance in Real Function-Resource Matrix: The DeCluster Algorithm

  3. Association Rule Mining

    1. No Access

      Book Chapter

      Pages 95-106

      MEIT: Memory Efficient Itemset Tree for Targeted Association Rule Mining

  4. Pattern Mining

    1. No Access

      Book Chapter

      Pages 107-119

      Mining Frequent Patterns in Print Logs with Semantically Alternative Labels

    2. No Access

      Book Chapter

      Pages 120-132

      Minimising K-Dominating Set in Arbitrary Network Graphs

  5. Regression

    1. No Access

      Book Chapter

      Pages 133-144

      Logistic Regression Bias Correction for Large Scale Data with Rare Events

    2. No Access

      Book Chapter

      Pages 145-156

      An Automatical Moderating System for FML Using Hashing Regression

    3. No Access

      Book Chapter

      Pages 157-164

      Batch-to-Batch Iterative Learning Control Based on Kernel Independent Component Regression Model

  6. Prediction

    1. No Access

      Book Chapter

      Pages 165-176

      Deep Architecture for Traffic Flow Prediction

    2. No Access

      Book Chapter

      Pages 177-188

      Compact Prediction Tree: A Lossless Model for Accurate Sequence Prediction

    3. No Access

      Book Chapter

      Pages 189-200

      Generalization of Malaria Incidence Prediction Models by Correcting Sample Selection Bias

    4. No Access

      Book Chapter

      Pages 201-210

      Protein Interaction Hot Spots Prediction Using LS-SVM within the Bayesian Interpretation

    5. No Access

      Book Chapter

      Pages 211-218

      Predicting the Survival Status of Cancer Patients with Traditional Chinese Medicine Symptom Variation Using Logistic Regression Model

  7. Feature Extraction

    1. No Access

      Book Chapter

      Pages 219-230

      Exploiting Multiple Features for Learning to Rank in Expert Finding

previous Page of 3