Constraint-based mining and inductive databases - Archive ouverte HAL
Ouvrages Année : 2006

Constraint-based mining and inductive databases

Résumé

The interconnected ideas of inductive databases and constraint-based mining are appealing and have the potential to radically change the theory and practice of data mining and knowledge discovery. This book reports on the results of the European IST project "cInQ" (consortium on knowledge discovery by Inductive Queries) and its final workshop entitled Constraint-Based Mining and Inductive Databases organized in Hinterzarten, Germany in March 2004.

Dates et versions

hal-01613479 , version 1 (09-10-2017)

Identifiants

Citer

Jean-François Boulicaut, Luc de Raedt, Heikki Mannila. Constraint-based mining and inductive databases. Springer, 3848, pp.405, 2006, Lecture Notes in Computer Science, LNCS, 978-3-540-31331-1. ⟨10.1007/11615576⟩. ⟨hal-01613479⟩
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