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ORCIDKDID 2006: Berlin, Germany
- Saso Dzeroski, Jan Struyf:
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
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