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» Discovering and ranking important rules
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DMIN
2006
132views Data Mining» more  DMIN 2006»
13 years 6 months ago
Discovering Accurate and Interesting Classification Rules Using Genetic Algorithm
Discovering accurate and interesting classification rules is a significant task in the post-processing stage of a data mining (DM) process. Therefore, an optimization problem exis...
Janaki Gopalan, Reda Alhajj, Ken Barker
AMINING
2003
Springer
261views Data Mining» more  AMINING 2003»
13 years 10 months ago
Micro View and Macro View Approaches to Discovered Rule Filtering
A data mining system can semi-automatically discover knowledge by mining a large volume of data, but the discovered knowledge is not always novel and may contain unreasonable facts...
Yasuhiko Kitamura, Akira Iida, Keunsik Park
CIIA
2009
13 years 6 months ago
Ontology-Driven Method for Ranking Unexpected Rules
Several rule discovery algorithms have the disadvantage to discover too much patterns sometimes obvious, useless or not very interesting to the user. In this paper we propose a new...
Mohamed Said Hamani, Ramdane Maamri
KDD
2002
ACM
150views Data Mining» more  KDD 2002»
14 years 5 months ago
Querying multiple sets of discovered rules
Rule mining is an important data mining task that has been applied to numerous real-world applications. Often a rule mining system generates a large number of rules and only a sma...
Alexander Tuzhilin, Bing Liu
KDD
1997
ACM
96views Data Mining» more  KDD 1997»
13 years 9 months ago
Using General Impressions to Analyze Discovered Classification Rules
One of the important problems in data mining is the evaluation of subjective interestingness of the discovered rules. Past research has found that in many real-life applications i...
Bing Liu, Wynne Hsu, Shu Chen