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Inhaltsverzeichnis
Keynote Speeches. - Empower People with Knowledge: The Next Frontier for Web Search. - Discovery of Patterns in Global Earth Science Data Using Data Mining. - Game Theoretic Approaches to Knowledge Discovery and Data Mining. - Session 1A. Clustering I. - A Set Correlation Model for Partitional Clustering. - iVAT and aVAT: Enhanced Visual Analysis for Cluster Tendency Assessment. - A Robust Seedless Algorithm for Correlation Clustering. - Integrative Parameter-Free Clustering of Data with Mixed Type Attributes. - Data Transformation for Sum Squared Residue. - Session 1B. Social Networks. - A Better Strategy of Discovering Link-Pattern Based Communities by Classical Clustering Methods. - Mining Antagonistic Communities from Social Networks. - As Time Goes by: Discovering Eras in Evolving Social Networks. - Online Sampling of High Centrality Individuals in Social Networks. - Estimate on Expectation for Influence Maximization in Social Networks. - Session 1C. Classification I. - A Novel Scalable Multi-class ROC for Effective Visualization and Computation. - Efficiently Finding the Best Parameter for the Emerging Pattern-Based Classifier PCL. - Rough Margin Based Core Vector Machine. - BoostML: An Adaptive Metric Learning for Nearest Neighbor Classification. - A New Emerging Pattern Mining Algorithm and Its Application in Supervised Classification. - Session 2A. Privacy. - Hiding Emerging Patterns with Local Recoding Generalization. - Anonymizing Transaction Data by Integrating Suppression and Generalization. - Satisfying Privacy Requirements: One Step before Anonymization. - Computation of Ratios of Secure Summations in Multi-party Privacy-Preserving Latent Dirichlet Allocation. - Privacy-Preserving Network Aggregation. - Multivariate Equi-width Data Swapping for Private Data Publication. - Session 2B. Spatio-Temporal Mining. - Correspondence Clustering: An Approach to Cluster Multiple Related Spatial Datasets. - Mining Trajectory Corridors Using Fréchet Distance and Meshing Grids. - Subseries Join: A Similarity-Based Time Series Match Approach. - TWave: High-Order Analysis of Spatiotemporal Data. - Spatial Clustering with Obstacles Constraints by Dynamic Piecewise-Mapped and Nonlinear Inertia Weights PSO. - Session 3A. Pattern Mining. - An Efficient GA-Based Algorithm for Mining Negative Sequential Patterns. - Valency Based Weighted Association Rule Mining. - Ranking Sequential Patterns with Respect to Significance. - Mining Association Rules in Long Sequences. - Mining Closed Episodes from Event Sequences Efficiently. - Most Significant Substring Mining Based on Chi-square Measure. - Session 3B. Recommendations/Answers. - Probabilistic User Modeling in the Presence of Drifting Concepts. - Using Association Rules to Solve the Cold-Start Problem in Recommender Systems. - Semi-supervised Tag Recommendation - Using Untagged Resources to Mitigate Cold-Start Problems. - Cost-Sensitive Listwise Ranking Approach. - Mining Wikipedia and Yahoo! Answers for Question Expansion in Opinion QA. - Answer Diversification for Complex Question Answering on the Web. - Vocabulary Filtering for Term Weighting in Archived Question Search. - Session 3C. Topic Modeling/Information Extraction. - On Finding the Natural Number of Topics with Latent Dirichlet Allocation: Some Observations. - Supervising Latent Topic Model for Maximum-Margin Text Classification and Regression. - Resource-Bounded Information Extraction: Acquiring Missing Feature Values on Demand. - Efficient Deep Web Crawling Using Reinforcement Learning. - Topic Decomposition and Summarization. - Session 4A. Skylines/Uncertainty. - UNN: A Neural Networkfor Uncertain Data Classification. - SkyDist: Data Mining on Skyline Objects. - Multi-Source Skyline Queries Processing in Multi-Dimensional Space. - Efficient Pattern Mining of Uncertain Data with Sampling. - Classifier Ensemble for Uncertain Data Stream Classification.
