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ESANN
2003
13 years 8 months ago
Extraction of fuzzy rules from trained neural network using evolutionary algorithm
This paper presents our approach to the rule extraction problem from trained neural network. A method called REX is briefly described. REX acquires a set of fuzzy rules using an ev...
Urszula Markowska-Kaczmar, Wojciech Trelak
KDD
2005
ACM
163views Data Mining» more  KDD 2005»
14 years 27 days ago
Web mining from competitors' websites
This paper presents a framework for user-oriented text mining. It is then illustrated with an example of discovering knowledge from competitors’ websites. The knowledge to be di...
Xin Chen, Yi-fang Brook Wu
ISI
2007
Springer
14 years 1 months ago
Mining Higher-Order Association Rules from Distributed Named Entity Databases
The burgeoning amount of textual data in distributed sources combined with the obstacles involved in creating and maintaining central repositories motivates the need for effective ...
Shenzhi Li, Christopher D. Janneck, Aditya P. Bela...
JCIT
2008
129views more  JCIT 2008»
13 years 7 months ago
A New Rule Scheduling Approach based on Estimation of Rule Execution Probability in Active Database
Active database systems (ADBS) can, automatically, react to the occurrence of predefined events by definition a collection of active rules. One of the most important modules of AD...
Abbas Rasoolzadegan, Rohollah Alesheykh, Ahmad Abd...
SDM
2009
SIAM
143views Data Mining» more  SDM 2009»
14 years 4 months ago
Finding Representative Association Rules from Large Rule Collections.
One of the most well-studied problems in data mining is computing association rules from large transactional databases. Often, the rule collections extracted from existing datamin...
Warren L. Davis IV, Peter Schwarz, Evimaria Terzi