KDID 2006: Berlin, Germany

Saso Dzeroski, Jan Struyf (Eds.): Knowledge Discovery in Inductive Databases, 5th International Workshop, KDID 2006, Berlin, Germany, September 18, 2006, Revised Selected and Invited Papers. Lecture Notes in Computer Science 4747 Springer 2007, ISBN 978-3-540-75548-7

Invited Talk

Kiri Wagstaff:
Value, Cost, and Sharing: Open Issues in Constrained Clustering. 1-10

Contributed Papers

Jérémy Besson, Céline Robardet, Luc De Raedt, Jean-François Boulicaut:
Mining Bi-sets in Numerical Data. 11-23
Stefano Bistarelli, Francesco Bonchi:
Extending the Soft Constraint Based Mining Paradigm. 24-41
Francesco Bonchi, Fosca Giannotti, Claudio Lucchese, Salvatore Orlando, Raffaele Perego, Roberto Trasarti:
On Interactive Pattern Mining from Relational Databases. 42-62
Saso Dzeroski, Valentin Gjorgjioski, Ivica Slavkov, Jan Struyf:
Analysis of Time Series Data with Predictive Clustering Trees. 63-80
Élisa Fromont, Hendrik Blockeel, Jan Struyf:
Integrating Decision Tree Learning into Inductive Databases. 81-96
Arianna Gallo, Rosa Meo:
Using a Reinforced Concept Lattice to Incrementally Mine Association Rules from Closed Itemsets. 97-115
Kenneth A. Kaufman, Ryszard S. Michalski, Jaroslaw Pietrzykowski, Janusz Wojtusiak:
An Integrated Multi-task Inductive Database VINLEN: Initial Implementation and Early Results. 116-133
Dragi Kocev, Jan Struyf, Saso Dzeroski:
Beam Search Induction and Similarity Constraints for Predictive Clustering Trees. 134-151
Shin-ichi Minato, Hiroki Arimura:
Frequent Pattern Mining and Knowledge Indexing Based on Zero-Suppressed BDDs. 152-169
Mirco Nanni, Christophe Rigotti:
Extracting Trees of Quantitative Serial Episodes. 170-188
Siegfried Nijssen, Luc De Raedt:
IQL: A Proposal for an Inductive Query Language. 189-207
François Rioult, Bruno Crémilleux:
Mining Correct Properties in Incomplete Databases. 208-222
Arnaud Soulet, Jirí Kléma, Bruno Crémilleux:
Efficient Mining Under Rich Constraints Derived from Various Datasets. 223-239
Marek Wojciechowski, Krzysztof Galecki, Krzysztof Gawronek:
Three Strategies for Concurrent Processing of Frequent Itemset Queries Using FP-Growth. 240-258

Discussion Paper

Saso Dzeroski:
Towards a General Framework for Data Mining. 259-300