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KDD
1997
ACM
109views Data Mining» more  KDD 1997»
15 years 10 months ago
A Dataset Decomposition Approach to Data Mining and Machine Discovery
We present a novel data mining approach based on decomposition. In order to analyze a given dataset, the method decomposes it to a hierarchy of smaller and less complex datasets t...
Blaz Zupan, Marko Bohanec, Ivan Bratko, Bojan Cest...
177
Voted
PKDD
2000
Springer
120views Data Mining» more  PKDD 2000»
15 years 10 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...
FLAIRS
2006
15 years 8 months ago
Improving Modularity in Genetic Programming Using Graph-Based Data Mining
We propose to improve the efficiency of genetic programming, a method to automatically evolve computer programs. We use graph-based data mining to identify common aspects of highl...
Istvan Jonyer, Akiko Himes
IJCAI
2003
15 years 8 months ago
Frequency-Based Coverage Statistics Mining for Data Integration
Recent work in data integration has shown the importance of statistical information about the coverage and overlap of data sources for efficient query processing. Gathering and s...
Zaiqing Nie, Subbarao Kambhampati
IJIIDS
2008
201views more  IJIIDS 2008»
15 years 6 months ago
MALEF: Framework for distributed machine learning and data mining
: Growing importance of distributed data mining techniques has recently attracted attention of researchers in multiagent domain. Several agent-based application have been already c...
Jan Tozicka, Michael Rovatsos, Michal Pechoucek, S...