KDID 2004: Pisa, Italy

Bart Goethals, Arno Siebes (Eds.): KDID 2004, Knowledge Discovery in Inductive Databases, Proceedings of the Third International Workshop on Knowledge Discovery inInductive Databases, Pisa, Italy, September 20, 2004, Revised Selected and Invited Papers. Lecture Notes in Computer Science 3377 Springer 2005, ISBN 3-540-25082-4 BibTeX

Invited Paper

Sunita Sarawagi:
Models and Indices for Integrating Unstructured Data with a Relational Database. 1-10
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Contributed Papers

Cláudia Antunes, Arlindo L. Oliveira:
Constraint Relaxations for Discovering Unknown Sequential Patterns. 11-32
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Jérémy Besson, Céline Robardet, Jean-François Boulicaut:
Mining Formal Concepts with a Bounded Number of Exceptions from Transactional Data. 33-45
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Nele Dexters, Toon Calders:
Theoretical Bounds on the Size of Condensed Representations. 46-65
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Ling Feng, Tharam S. Dillon:
Mining Interesting XML-Enabled Association Rules with Templates. 66-88
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Baptiste Jeudy, François Rioult:
Database Transposition for Constrained (Closed) Pattern Mining. 89-107
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Sau Dan Lee, Luc De Raedt:
An Efficient Algorithm for Mining String Databases Under Constraints. 108-129
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Taneli Mielikäinen:
An Automata Approach to Pattern Collections. 130-149
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Taneli Mielikäinen:
Implicit Enumeration of Patterns. 150-172
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Arnaud Soulet, Bruno Crémilleux, François Rioult:
Condensed Representation of EPs and Patterns Quantified by Frequency-Based Measures. 173-190
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