Advances in Knowledge Discovery and Data Mining: 16th Pacific-Asia Conference, PAKDD 2012, Kuala Lumpur, Malaysia, May 29 – June 1, 2012, Proceedings, Part II

Front Matter....Pages -
Time-Evolving Relational Classification and Ensemble Methods....Pages 1-13
Active Learning for Hierarchical Text Classification....Pages 14-25
TeamSkill Evolved: Mixed Classification Schemes for Team-Based Multi-player Games....Pages 26-37
A Novel Weighted Ensemble Technique for Time Series Forecasting....Pages 38-49
Techniques for Efficient Learning without Search....Pages 50-61
An Aggressive Margin-Based Algorithm for Incremental Learning....Pages 62-73
Two-View Online Learning....Pages 74-85
A Generic Classifier-Ensemble Approach for Biomedical Named Entity Recognition....Pages 86-97
Neighborhood Random Classification....Pages 98-108
SRF: A Framework for the Study of Classifier Behavior under Training Set Mislabeling Noise....Pages 109-121
Building Decision Trees for the Multi-class Imbalance Problem....Pages 122-134
Scalable Random Forests for Massive Data....Pages 135-146
Hybrid Random Forests: Advantages of Mixed Trees in Classifying Text Data....Pages 147-158
Learning Tree Structure of Label Dependency for Multi-label Learning....Pages 159-170
Multiple Instance Learning for Group Record Linkage....Pages 171-182
Incremental Set Recommendation Based on Class Differences....Pages 183-194
Active Learning for Cross Language Text Categorization....Pages 195-206
Evasion Attack of Multi-class Linear Classifiers....Pages 207-218
Foundation of Mining Class-Imbalanced Data....Pages 219-230
Active Learning with c-Certainty....Pages 231-242
A Term Association Translation Model for Naive Bayes Text Classification....Pages 243-253
A Double-Ensemble Approach for Classifying Skewed Data Streams....Pages 254-265
Generating Balanced Classifier-Independent Training Samples from Unlabeled Data....Pages 266-281
Nyström Approximate Model Selection for LSSVM....Pages 282-293
Exploiting Label Dependency for Hierarchical Multi-label Classification....Pages 294-305
Diversity Analysis on Boosting Nominal Concepts....Pages 306-317
Extreme Value Prediction for Zero-Inflated Data....Pages 318-329
Learning to Diversify Expert Finding with Subtopics....Pages 330-341
An Associative Classifier for Uncertain Datasets....Pages 342-353
Neighborhood-Based Smoothing of External Cluster Validity Measures....Pages 354-365
Sequential Entity Group Topic Model for Getting Topic Flows of Entity Groups within One Document....Pages 366-378
Topological Comparisons of Proximity Measures....Pages 379-391
Quad-tuple PLSA: Incorporating Entity and Its Rating in Aspect Identification....Pages 392-404
Clustering-Based k -Anonymity....Pages 405-417
Unsupervised Ensemble Learning for Mining Top-n Outliers....Pages 418-430
Towards Personalized Context-Aware Recommendation by Mining Context Logs through Topic Models....Pages 431-443
Mining of Temporal Coherent Subspace Clusters in Multivariate Time Series Databases....Pages 444-455
A Vertex Similarity Probability Model for Finding Network Community Structure....Pages 456-467
Hybrid- ε -greedy for Mobile Context-Aware Recommender System....Pages 468-479
Unsupervised Multi-label Text Classification Using a World Knowledge Ontology....Pages 480-492
Semantic Social Network Analysis with Text Corpora....Pages 493-504
Visualizing Clusters in Parallel Coordinates for Visual Knowledge Discovery....Pages 505-516
Feature Enriched Nonparametric Bayesian Co-clustering....Pages 517-529
Shape-Based Clustering for Time Series Data....Pages 530-541
Privacy-Preserving EM Algorithm for Clustering on Social Network....Pages 542-553
Named Entity Recognition and Identification for Finding the Owner of a Home Page....Pages 554-565
Clustering and Understanding Documents via Discrimination Information Maximization....Pages 566-577
A Semi-supervised Incremental Clustering Algorithm for Streaming Data....Pages 578-590
Unsupervised Sparse Matrix Co-clustering for Marketing and Sales Intelligence....Pages 591-603
Expectation-Maximization Collaborative Filtering with Explicit and Implicit Feedback....Pages 604-616
Back Matter....Pages -