Abstract is missing.
- Value, Cost, and Sharing: Open Issues in Constrained ClusteringKiri Wagstaff. 1-10 [doi]
- Mining Bi-sets in Numerical DataJérémy Besson, Céline Robardet, Luc De Raedt, Jean-François Boulicaut. 11-23 [doi]
- Extending the Soft Constraint Based Mining ParadigmStefano Bistarelli, Francesco Bonchi. 24-41 [doi]
- On Interactive Pattern Mining from Relational DatabasesFrancesco Bonchi, Fosca Giannotti, Claudio Lucchese, Salvatore Orlando, Raffaele Perego, Roberto Trasarti. 42-62 [doi]
- Analysis of Time Series Data with Predictive Clustering TreesSaso Dzeroski, Valentin Gjorgjioski, Ivica Slavkov, Jan Struyf. 63-80 [doi]
- Integrating Decision Tree Learning into Inductive DatabasesÉlisa Fromont, Hendrik Blockeel, Jan Struyf. 81-96 [doi]
- Using a Reinforced Concept Lattice to Incrementally Mine Association Rules from Closed ItemsetsArianna Gallo, Rosa Meo. 97-115 [doi]
- An Integrated Multi-task Inductive Database VINLEN: Initial Implementation and Early ResultsKenneth A. Kaufman, Ryszard S. Michalski, Jaroslaw Pietrzykowski, Janusz Wojtusiak. 116-133 [doi]
- Beam Search Induction and Similarity Constraints for Predictive Clustering TreesDragi Kocev, Jan Struyf, Saso Dzeroski. 134-151 [doi]
- Frequent Pattern Mining and Knowledge Indexing Based on Zero-Suppressed BDDsShin-ichi Minato, Hiroki Arimura. 152-169 [doi]
- Extracting Trees of Quantitative Serial EpisodesMirco Nanni, Christophe Rigotti. 170-188 [doi]
- IQL: A Proposal for an Inductive Query LanguageSiegfried Nijssen, Luc De Raedt. 189-207 [doi]
- Mining Correct Properties in Incomplete DatabasesFrançois Rioult, Bruno Crémilleux. 208-222 [doi]
- Efficient Mining Under Rich Constraints Derived from Various DatasetsArnaud Soulet, Jirí Kléma, Bruno Crémilleux. 223-239 [doi]
- Three Strategies for Concurrent Processing of Frequent Itemset Queries Using FP-GrowthMarek Wojciechowski, Krzysztof Galecki, Krzysztof Gawronek. 240-258 [doi]
- Towards a General Framework for Data MiningSaso Dzeroski. 259-300 [doi]