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» Mining Association Rules: Anti-Skew Algorithms
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KDD
2006
ACM
134views Data Mining» more  KDD 2006»
14 years 9 months ago
Identifying bridging rules between conceptual clusters
1 A bridging rule in this paper has its antecedent and action from different conceptual clusters. We first design two algorithms for mining bridging rules between clusters in a dat...
Shichao Zhang, Feng Chen, Xindong Wu, Chengqi Zhan...
CORR
2010
Springer
173views Education» more  CORR 2010»
13 years 6 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
PAKDD
2004
ACM
119views Data Mining» more  PAKDD 2004»
14 years 2 months ago
Mining Negative Rules Using GRD
GRD is an algorithm for k-most interesting rule discovery. In contrast to association rule discovery, GRD does not require the use of a minimum support constraint. Rather, the user...
Dhananjay R. Thiruvady, Geoffrey I. Webb
HICSS
2000
IEEE
150views Biometrics» more  HICSS 2000»
14 years 1 months ago
An Application of Text Mining: Bibliographic Navigator Powered by Extended Association Rules
In this paper, we discuss the implementation and performance of our developed bibliographic navigator with the text mining. We categorize the different attributes and extend the m...
Minoru Kawahara, Hiroyuki Kawano
ESWA
2008
128views more  ESWA 2008»
13 years 9 months ago
Mining the data from a hyperheuristic approach using associative classification
Associative classification is a promising classification approach that utilises association rule mining to construct accurate classification models. In this paper, we investigate ...
Fadi A. Thabtah, Peter I. Cowling