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» Generating non-redundant association rules
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FLAIRS
2008
14 years 12 months ago
Semantic Analysis of Association Rules
When applying association mining to real datasets, a major obstacle is that often a huge number of rules are generated even with very reasonable support and confidence. Among thes...
Ping Chen, Rakesh M. Verma, Janet C. Meininger, We...
AUSAI
2004
Springer
15 years 1 months ago
Using Classification to Evaluate the Output of Confidence-Based Association Rule Mining
Abstract. Association rule mining is a data mining technique that reveals interesting relationships in a database. Existing approaches employ different parameters to search for int...
Stefan Mutter, Mark Hall, Eibe Frank
JIPS
2008
116views more  JIPS 2008»
14 years 9 months ago
An Empirical Study of Qualities of Association Rules from a Statistical View Point
: Minimum support and confidence have been used as criteria for generating association rules in all association rule mining algorithms. These criteria have their natural appeals, s...
Maryann Dorn, Wen-Chi Hou, Dunren Che, Zhewei Jian...
DASFAA
2010
IEEE
232views Database» more  DASFAA 2010»
15 years 1 months ago
Mining Rare Association Rules in the Datasets with Widely Varying Items' Frequencies
Rare association rule is an association rule consisting of rare items. It is difficult to mine rare association rules with a single minimum support (minsup) constraint because low ...
R. Uday Kiran, P. Krishna Reddy
CORR
2010
Springer
173views Education» more  CORR 2010»
14 years 7 months ago
Mining Multi-Level Frequent Itemsets under Constraints
Mining association rules is a task of data mining, which extracts knowledge in the form of significant implication relation of useful items (objects) from a database. Mining multi...
Mohamed Salah Gouider, Amine Farhat