A Survey of Algorithms in FCIM

Shekofteh, Maryam

doi:10.1109/dsde.2010.32

Cited by 3 publications

(3 citation statements)

References 6 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Recent surveys on frequent-closed-itemset mining of associating rules can be found in [157,184]. For the second phase, condensed representations for association rules can be generated from frequent closed itemsets and generators, which further reduces the processing time of association rule generation.…”

Section: Closed-itemset Frameworkmentioning

confidence: 99%

Galois Closure Based Association Rule Mining From Biological Data

Mondal¹,

Pasquier²

2013

Biological Knowledge Discovery Handbook

View full text Add to dashboard Cite

Section: Closed-itemset Frameworkmentioning

confidence: 99%

Galois Closure Based Association Rule Mining From Biological Data

Mondal¹,

Pasquier²

2013

Biological Knowledge Discovery Handbook

View full text Add to dashboard Cite

“…The precise definition of closed item set, however, is based on Relations (1) and (2). Let us consider T, y and then respectively…”

Section: Problem Developmentmentioning

confidence: 99%

“…In addition, it decreases redundant rules and increases mining efficiency. Many algorithms have been presented for mining frequent closed item sets [2], and A-close proved to be a fundamental one [3].…”

Section: Introductionmentioning

confidence: 99%