Mining frequent itemsets using the N-list and subsume concepts

MEI: An efficient algorithm for mining erasable itemsets

(2013) Tuong Le et al.   ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE

A New Fast Vertical Method for Mining Frequent Patterns

(2013) Zhihong Deng et al.   International Journal of Computational Intelligence Systems

A lattice-based approach for mining most generalization association rules

(2013) Bay Vo et al.   KNOWLEDGE-BASED SYSTEMS

Classification based on association rules: A lattice-based approach

(2012) Loan T.T. Nguyen et al.   EXPERT SYSTEMS WITH APPLICATIONS

A new method for mining Frequent Weighted Itemsets based on WIT-trees

(2012) Bay Vo et al.   EXPERT SYSTEMS WITH APPLICATIONS

A new algorithm for fast mining frequent itemsets using N-lists

(2012) ZhiHong Deng et al.   Science China-Information Sciences

Interestingness measures for association rules: Combination between lattice and hash tables

(2011) Bay Vo et al.   EXPERT SYSTEMS WITH APPLICATIONS

CMRules: Mining sequential rules common to several sequences

(2011) Philippe Fournier-Viger et al.   KNOWLEDGE-BASED SYSTEMS

Calibrated lazy associative classification

(2010) Adriano Veloso et al.   INFORMATION SCIENCES

Processing online analytics with classification and association rule mining

(2010) Amy H.L. Lim et al.   KNOWLEDGE-BASED SYSTEMS

Building a highly-compact and accurate associative classifier

(2009) Xing Zhang et al.   APPLIED INTELLIGENCE

Building a Rule-Based Classifier—A Fuzzy-Rough Set Approach

(2009) Suyun Zhao et al.   IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING

Prism: An effective approach for frequent sequence mining via prime-block encoding

(2009) Karam Gouda et al.   JOURNAL OF COMPUTER AND SYSTEM SCIENCES

Index-BitTableFI: An improved algorithm for mining frequent itemsets

(2008) Wei Song et al.   KNOWLEDGE-BASED SYSTEMS