| Data analysis in the life sciences - sparking ideas | p. 1 |
| Machine learning for natural language processing (and vice versa?) | p. 2 |
| Statistical relational learning : an inductive logic programming perspective | p. 3 |
| Recent advances in mining time series data | p. 6 |
| Focus the mining beacon : lessons and challenges from the world of e-commerce | p. 7 |
| Data streams and data synopses for massive data sets | p. 8 |
| k-Anonymous patterns | p. 10 |
| Interestingness if not a dichotomy : introducing softness in constrained pattern mining | p. 22 |
| Generating dynamic higher-order Markov models in Web usage mining | p. 34 |
| TREE[superscript 2] - decision trees for tree structured data | p. 46 |
| Agglomerative hierarchical clustering with constraints : theoretical and empirical results | p. 59 |
| Cluster aggregate inequality and multi-level hierarchical clustering | p. 71 |
| Ensembles of balances nestetd dichotomies for multi-class problems | p. 84 |
| Protein sequence pattern mining with constraints | p. 96 |
| An adaptive nearest neighbor classification algorithm for data streams | p. 108 |
| Support vector random fields for spatial classification | p. 121 |
| Realistic, mathematically tractable graph generation and evolution, using Kornecker multiplication | p. 133 |
| A correspondence between maximal complete bipartite subgraphs and closed patterns | p. 146 |
| Improving generalization by data categorization | p. 157 |
| Mining model trees from spatial data | p. 169 |
| Word sense disambiguation for exploiting hierarchical thesauri in text classification | p. 181 |
| Mining paraphrases from self-anchored Web sentence fragments | p. 193 |
| M[superscript 2]SP : mining sequential patterns among several dimensions | p. 205 |
| A systematic comparison of feature-rich probabilistic classifiers for NER tasks | p. 217 |
| Knowledge discovery from user preferences in conversational recommendation | p. 228 |
| Unsupervised discretization using tree-based density estimation | p. 240 |
| Weighted average pointwise mutual information for feature selection in text categorization | p. 252 |
| Non-stationary environment compensation using sequential EM algorithm for robust speech recognition | p. 264 |
| Hybrid cost-sensitive decision tree | p. 274 |
| Characterization of novel HIV drug resistance mutations using clustering, multidimensional scaling and SVM-based feature ranking | p. 285 |
| Object identification with attribute-mediated dependences | p. 297 |
| Weka4WS : a WSRF-enabled Weka toolkit for distributed data mining on grids | p. 309 |
| Using inductive logic programming for predicting protein-protein interactions from multiple genomic data | p. 321 |
| ISOLLE : locally linear embedding with geodesic distance | p. 331 |
| Active sampling for knowledge discovery from biomedical data | p. 343 |
| A multi-metric index for euclidean and periodic matching | p. 355 |
| Fast burst correlation of financial data | p. 368 |
| A propositional approach to textual case indexing | p. 380 |
| A quantitative comparison of the subgraph miners MoFa, gSpan, FFSM, and Gaston | p. 392 |
| Efficient classification from multiple heterogeneous databases | p. 404 |
| A probalistic clustering-projection model for discrete data | p. 417 |
| Collaborative filtering on data streams | p. 429 |
| The relation of closed itemset mining, complete pruning strategies and item ordering in apriori-based FIM algorithms | p. 437 |
| Community mining from multi-relational networks | p. 445 |
| Evaluating the correlation between objective rule interestingness measures and real human interest | p. 453 |
| A kernel based method for discovering market segments in beef meat | p. 462 |
| Corpus-based neural network method for explaining unknown words by WordNet senses | p. 470 |
| Segment and combine approach for non-parametric time-series classification | p. 478 |
| Producing accurate interpretable clusters from high-dimensional data | p. 486 |
| Stress-testing Hoeffding trees | p. 495 |
| Rank measures for ordering | p. 503 |
| Dynamic ensemble re-construction for better ranking | p. 511 |
| Frequency-based separation of climate signals | p. 519 |
| Efficient processing of ranked queries with sweeping selection | p. 527 |
| Feature extraction from mass spectra for classification of pathological states | p. 536 |
| Numbers in multi-relational data mining | p. 544 |
| Testing theories in particle physics using maximum likelihood and adaptive bin allocation | p. 552 |
| Improved naive Bayes for extremely skewed misclassification costs | p. 561 |
| Clustering and prediction of mobile user routes from cellular data | p. 569 |
| Elastic partial matching of time series | p. 577 |
| An entropy-based approach for generating multi-dimensional sequential patterns | p. 585 |
| Visual terrain analysis of high-dimensional datasets | p. 593 |
| An auto-stopped hierarchical clustering algorithm for analyzing 3D model database | p. 601 |
| A comparison between block CEM and two-way CEM algorithms to cluster a contingency table | p. 609 |
| An imbalanced data rule learner | p. 617 |
| Improvements in the data partitioning approach for frequent itemsets mining | p. 625 |
| On-line adaptive filtering of Web pages | p. 634 |
| A bi-clustering framework for categorical data | p. 643 |
| Privacy-preserving collaborative filtering on vertically partitioned data | p. 651 |
| Indexed bit map (IBM) for mining frequent sequences | p. 659 |
| STochFS : a framework for combining feature selection outcomes through a stochastic process | p. 667 |
| Speeding up logistic model tree induction | p. 675 |
| A random method for quantifying changing distributions in data streams | p. 684 |
| Deriving class association rules based on levelwise subspace clustering | p. 692 |
| An incremental algorithm for mining generators representation | p. 701 |
| Hybrid technique for artificial neural network architecture and weight optimization | p. 709 |
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