Database Support for Data Mining Applications 2004
Rosa Meo, Pier Luca Lanzi, Mika Klemettinen (Eds.):
Database Support for Data Mining Applications: Discovering Knowledge with Inductive Queries.
Lecture Notes in Computer Science 2682 Springer 2004, ISBN 3-540-22479-3 
- Jean-François Boulicaut:
Inductive Databases and Multiple Uses of Frequent Itemsets: The cInQ Approach.
1-23
- Marco Botta, Jean-François Boulicaut, Cyrille Masson, Rosa Meo:
Query Languages Supporting Descriptive Rule Mining: A Comparative Study.
24-51
- Hasan M. Jamil:
Declarative Data Mining Using SQL3.
52-75
- Fosca Giannotti, Giuseppe Manco, Franco Turini:
Towards a Logic Query Language for Data Mining.
76-94
- Donato Malerba, Annalisa Appice, Michelangelo Ceci:
A Data Mining Query Language for Knowledge Discovery in a Geographical Information System.
95-116
- Luc De Raedt:
Towards Query Evaluation in Inductive Databases Using Version Spaces.
117-134
- Petr Hájek, Jan Rauch, David Coufal, Thomas Feglar:
The GUHA Method, Data Preprocessing and Mining.
135-153
- Sau Dan Lee, Luc De Raedt:
Constraint Based Mining of First Order Sequences in SeqLog.
154-173
- Matthias Gimbel, Michael Klein, Peter C. Lockemann:
Interactivity, Scalability and Resource Control for Efficient KDD Support in DBMS.
174-193
- Ralf Rantzau:
Frequent Itemset Discovery with SQL Using Universal Quantification.
194-213
- Toon Calders:
Deducing Bounds on the Support of Itemsets.
214-233
- Artur Bykowski, Jouni K. Seppänen, Jaakko Hollmén:
Model-Independent Bounding of the Supports of Boolean Formulae in Binary Data.
234-249
- Arnaud Giacometti, Dominique Laurent, Cheikh Talibouya Diop:
Condensed Representations for Sets of Mining Queries.
250-269
- Evgueni N. Smirnov, Ida G. Sprinkhuizen-Kuyper, H. Jaap van den Herik:
One-Sided Instance-Based Boundary Sets.
270-288
- Kimmo Hätönen, Mika Klemettinen:
Domain Structures in Filtering Irrelevant Frequent Patterns.
289-305
- Artur Bykowski, Thomas Daurel, Nicolas Méger, Christophe Rigotti:
Integrity Constraints over Association Rules.
306-323
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