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ORCIDInductive Databases and Constraint-Based Data Mining 2010
- Saso Dzeroski
, Bart Goethals, Pance Panov:
Inductive Databases and Constraint-Based Data Mining. Springer 2010, ISBN 978-1-4419-7737-3
Part 1 / Introduction
- Saso Dzeroski:
Inductive Databases and Constraint-based Data Mining: Introduction and Overview. 3-26 - Pance Panov, Saso Dzeroski, Larisa N. Soldatova:
Representing Entities in the OntoDM Data Mining Ontology. 27-58 - Hendrik Blockeel, Toon Calders, Élisa Fromont, Bart Goethals, Adriana Prado, Céline Robardet:
A Practical Comparative Study Of Data Mining Query Languages. 59-77 - Luc De Raedt, Manfred Jaeger, Sau Dan Lee, Heikki Mannila:
A Theory of Inductive Query Answering. 79-103
Part 2 / Constraint-based Mining: Selected Techniques
- Jérémy Besson, Jean-François Boulicaut, Tias Guns, Siegfried Nijssen:
Generalizing Itemset Mining in a Constraint Programming Setting. 107-126 - Björn Bringmann, Siegfried Nijssen, Albrecht Zimmermann:
From Local Patterns to Classification Models. 127-154 - Jan Struyf, Saso Dzeroski:
Constrained Predictive Clustering. 155-175 - Ella Bingham:
Finding Segmentations of Sequences. 177-197 - Loïc Cerf, Tran Bao Nhan Nguyen, Jean-François Boulicaut:
Mining Constrained Cross-Graph Cliques in Dynamic Networks. 199-228 - Luc De Raedt, Angelika Kimmig, Bernd Gutmann, Kristian Kersting, Vítor Santos Costa, Hannu Toivonen:
Probabilistic Inductive Querying Using ProbLog. 229-262
Part 3 / Inductive Databases: Integration Approaches
- Hendrik Blockeel, Toon Calders, Élisa Fromont, Adriana Prado, Bart Goethals, Céline Robardet:
Inductive Querying with Virtual Mining Views. 265-287 - Jörg Wicker, Lothar Richter, Stefan Kramer:
SINDBAD and SiQL: Overview, Applications and Future Developments. 289-309 - Arno Siebes, Diyah Puspitaningrum:
Patterns on Queries. 311-334 - Joaquin Vanschoren, Hendrik Blockeel:
Experiment Databases. 335-361
Part 4 / Applications
- Celine Vens, Leander Schietgat, Jan Struyf, Hendrik Blockeel, Dragi Kocev, Saso Dzeroski:
Predicting Gene Function using Predictive Clustering Trees. 365-387 - Ivica Slavkov, Saso Dzeroski:
Analyzing Gene Expression Data with Predictive Clustering Trees. 389-406 - Christophe Rigotti, Ieva Mitasiunaite, Jérémy Besson, Laurène Meyniel, Jean-François Boulicaut, Olivier Gandrillon:
Using a Solver Over the String Pattern Domain to Analyze Gene Promoter Sequences. 407-423 - Ross D. King, Amanda C. Schierz, Amanda Clare, Jem J. Rowland, Andrew Sparkes, Siegfried Nijssen, Jan Ramon:
Inductive Queries for a Drug Designing Robot Scientist. 425-451
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