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IEAAIE
2009
Springer
14 years 1 months ago
Incremental Mining of Ontological Association Rules in Evolving Environments
The process of knowledge discovery from databases is a knowledge intensive, highly user-oriented practice, thus has recently heralded the development of ontology-incorporated data ...
Ming-Cheng Tseng, Wen-Yang Lin
ISCC
2002
IEEE
147views Communications» more  ISCC 2002»
14 years 10 days ago
A new method for finding generalized frequent itemsets in generalized association rule mining
Generalized association rule mining is an extension of traditional association rule mining to discover more informative rules, given a taxonomy. In this paper, we describe a forma...
Kritsada Sriphaew, Thanaruk Theeramunkong
SIGMOD
2004
ACM
196views Database» more  SIGMOD 2004»
14 years 7 months ago
FARMER: Finding Interesting Rule Groups in Microarray Datasets
Microarray datasets typically contain large number of columns but small number of rows. Association rules have been proved to be useful in analyzing such datasets. However, most e...
Gao Cong, Anthony K. H. Tung, Xin Xu, Feng Pan, Ji...
CORR
2010
Springer
95views Education» more  CORR 2010»
13 years 6 months ago
Towards an incremental maintenance of cyclic association rules
Recently, the cyclic association rules have been introduced in order to discover rules from items characterized by their regular variation over time. In real life situations, temp...
Eya Ben Ahmed, Mohamed Salah Gouider
FLAIRS
2003
13 years 8 months ago
An Improved Algorithm for Mining Association Rules Using Multiple Support Values
Almost all the approaches in association rule mining suggested the use of a single minimum support, technique that either rules out all infrequent itemsets or suffers from the bot...
Ioannis N. Kouris, Christos Makris, Athanasios K. ...