Invited Talks (abstracts).- Theory-practice Interplay In Machine Learning - Emerging Theoretical Challenges.- Are We There Yet?.- The Growing Semantic Web.- Privacy In Web Search Query Log Mining.- Highly Multilingual News Analysis Applications.- Machine Learning Journal Abstracts.- Combining Instance-based Learning And Logistic Regression For Multilabel Classification.- On Structured Output Training: Hard Cases And An Efficient Alternative.- Sparse Kernel Svms Via Cutting-plane Training.- Hybrid Least-squares Algorithms For Approximate Policy Evaluation.- A Self-training Approach To Cost Sensitive Uncertainty Sampling.- Learning Multi-linear Representations Of Distributions For Efficient Inference.- Cost-sensitive Learning Based On Bregman Divergences.- Data Mining And Knowledge Discovery Journal Abstracts.- Rtg: A Recursive Realistic Graph Generator Using Random Typing.- Taxonomy-driven Lumping For Sequence Mining.- On Subgroup Discovery In Numerical Domains.- Harnessing The Strengths Of Anytime Algorithms For Constant Data Streams.- Identifying The Components.- Two-way Analysis Of High-dimensional Collinear Data.- A Fast Ensemble Pruning Algorithm Based On Pattern Mining Process.- Regular Papers.- Evaluation Measures For Multi-class Subgroup Discovery.- Empirical Study Of Relational Learning Algorithms In The Phase Transition Framework.- Topic Significance Ranking Of Lda Generative Models.- Communication-efficient Classification In P2p Networks.- A Generalization Of Forward-backward Algorithm.- Mining Graph Evolution Rules.- Parallel Subspace Sampling For Particle Filtering In Dynamic Bayesian Networks.- Adaptive Xml Tree Classification On Evolving Data Streams.- A Condensed Representation Of Itemsets For Analyzing Their Evolution Over Time.- Non-redundant Subgroup Discovery Using A Closure System.- Plsi: The True Fisher Kernel And Beyond.- Semi-supervised Document Clustering With Simultaneous Text Representation And Categorization.- One Graph Is Worth A Thousand