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Volumn 5, Issue 9, 2010, Pages

An implementation of FP-growth algorithm based on high level data structures of weka-JUNG framework

Author keywords

FP growth algorithm; Frequent itemset mining; JUNG; Weka

Indexed keywords

APRIORI; DATA MINING ALGORITHM; DATA OBJECTS; DATA TYPE; FP-GROWTH ALGORITHM; FREQUENT ITEMSET MINING; JUNG; OBJECT ORIENTED; OPEN SOURCE PLATFORMS; OPEN SOURCES; PROGRAMMING LANGUAGE; TREE-STRUCTURED DATA; WEKA;

EID: 78651537917     PISSN: 19759320     EISSN: None     Source Type: Journal    
DOI: 10.4156/jcit.vol5.issue9.30     Document Type: Article
Times cited : (11)

References (17)
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  • 5
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    • Data Mining with Open Source Machine Learning Software in Java
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    • Lilin, F.A.N.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.