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» Numbers in Multi-relational Data Mining
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IJCAI
2007
13 years 6 months ago
On Mining Closed Sets in Multi-Relational Data
We investigate the problem of mining closed sets in multi-relational databases. Previous work introduced different semantics and associated algorithms for mining closed sets in mu...
Gemma C. Garriga, Roni Khardon, Luc De Raedt
PKDD
2005
Springer
89views Data Mining» more  PKDD 2005»
13 years 10 months ago
Numbers in Multi-relational Data Mining
Numeric data has traditionally received little attention in the field of Multi-Relational Data Mining (MRDM). It is often assumed that numeric data can simply be turned into symbol...
Arno J. Knobbe, Eric K. Y. Ho
SIGKDD
2002
129views more  SIGKDD 2002»
13 years 4 months ago
Multi-Relational Data Mining: a Workshop Report
In this report, we briefly review the Multi-Relational Data Mining workshop, which was held in Edmonton, Canada on July, 23, 2002 as part of the workshop program of the 8th ACM SI...
Saso Dzeroski, Luc De Raedt
PKDD
2000
Springer
120views Data Mining» more  PKDD 2000»
13 years 8 months ago
Multi-Relational Data Mining, Using UML for ILP
Although there is a growing need for multi-relational data mining solutions in KDD, the use of obvious candidates from the field of Inductive Logic Programming (ILP) has been limit...
Arno J. Knobbe, Arno Siebes, Hendrik Blockeel, Dan...
IADIS
2008
13 years 6 months ago
Aggregation in Confidence-Based Concept Discovery for Multi-Relational Data Mining
Multi-relational data mining has become popular due to the limitations of propositional problem definition in structured domains and the tendency of storing data in relational dat...
Yusuf Kavurucu, Pinar Senkul, Ismail Hakki Toroslu