Constraint-Based Mining and Inductive Databases 2004
Jean-François Boulicaut, Luc De Raedt, Heikki Mannila (Eds.):
Constraint-Based Mining and Inductive Databases, European Workshop on Inductive Databases and Constraint Based Mining, Hinterzarten, Germany, March 11-13, 2004, Revised Selected Papers.
Lecture Notes in Computer Science 3848 Springer 2005, ISBN 3-540-31331-1
- Roberto J. Bayardo:
The Hows, Whys, and Whens of Constraints in Itemset and Rule Discovery.
1-13

- Francesco Bonchi, Fosca Giannotti, Dino Pedreschi:
A Relational Query Primitive for Constraint-Based Pattern Mining.
14-37

- Björn Bringmann:
To See the Wood for the Trees: Mining Frequent Tree Patterns.
38-63

- Toon Calders, Christophe Rigotti, Jean-François Boulicaut:
A Survey on Condensed Representations for Frequent Sets.
64-80

- Fabien De Marchi, Frédéric Flouvat, Jean-Marc Petit:
Adaptive Strategies for Mining the Positive Border of Interesting Patterns: Application to Inclusion Dependencies in Databases.
81-101

- Cheikh Talibouya Diop, Arnaud Giacometti, Dominique Laurent, Nicolas Spyratos:
Computation of Mining Queries: An Algebraic Approach.
102-126

- Saso Dzeroski, Ljupco Todorovski, Peter Ljubic:
Inductive Queries on Polynomial Equations.
127-154

- Gianluigi Greco, Antonella Guzzo, Giuseppe Manco, Luigi Pontieri, Domenico Saccà:
Mining Constrained Graphs: The Case of Workflow Systems.
155-171

- Xiaoxin Yin, Jiawei Han, Jiong Yang, Philip S. Yu:
CrossMine: Efficient Classification Across Multiple Database Relations.
172-195

- Kimmo Hätönen, Mika Klemettinen, Markus Miettinen:
Remarks on the Industrial Application of Inductive Database Technologies.
196-215

- Daniel Kifer, Johannes Gehrke, Cristian Bucila, Walker M. White:
How to Quickly Find a Witness.
216-242

- Nada Lavrac, Dragan Gamberger:
Relevancy in Constraint-Based Subgroup Discovery.
243-266

- Rosa Meo, Marco Botta, Roberto Esposito, Arianna Gallo:
A Novel Incremental Approach to Association Rules Mining in Inductive Databases.
267-294

- Rosa Meo, Pier Luca Lanzi, Maristella Matera, Danilo Careggio, Roberto Esposito:
Employing Inductive Databases in Concrete Applications.
295-327

- Ruggero G. Pensa, Jérémy Besson, Céline Robardet, Jean-François Boulicaut:
Contribution to Gene Expression Data Analysis by Means of Set Pattern Mining.
328-347

- Jouni K. Seppänen, Heikki Mannila:
Boolean Formulas and Frequent Sets.
348-361

- Mohammed Javeed Zaki, Nilanjana De, Feng Gao, Paolo Palmerini, Nagender Parimi, Jeevan Pathuri, Benjarath Phoophakdee, Joe Urban:
Generic Pattern Mining Via Data Mining Template Library.
362-379

- Albrecht Zimmermann, Luc De Raedt:
Inductive Querying for Discovering Subgroups and Clusters.
380-399

Last update Sat May 18 18:15:55 2013
CET by the DBLP Team —
Data released under the ODC-BY 1.0 license — See also our legal information page