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Volumn 3, Issue 4, 2009, Pages 1327-1332

A three-scan mining algorithm for high on-shelf utility itemsets

Author keywords

Data mining; High utility itemsets; On shelf data; Pruningstrategy; Utility mining

Indexed keywords

ITEM SETS; ITEMSET; MINING ALGORITHMS; ON-SHELF DATA; PRUNING STRATEGY; UTILITY MINING;

EID: 77953888000     PISSN: 1881803X     EISSN: None     Source Type: Journal    
DOI: None     Document Type: Article
Times cited : (5)

References (11)
  • 7
    • 34250863838 scopus 로고    scopus 로고
    • High-utility pattern mining: A method for discovery of high-utility itemsets
    • J. Hu and A. Mojsilovic, High-utility pattern mining: A method fordiscovery of high-utility item sets, Pattern Recognition, vol.40, no.11,pp.3317-3324, 2007.
    • (2007) Pattern Recognition , vol.40 , Issue.11 , pp. 3317-3324
    • Hu, J.1    Mojsilovic, A.2
  • 8
    • 0346299592 scopus 로고    scopus 로고
    • IBM Quest Data Mining Project
    • IBM Quest Data Mining Project, Quest Synthetic Data Generation Code,http://www.almaden.ibm.com/cs/quest/syndata.html, 1996.
    • (1996) Quest Synthetic Data Generation Code
  • 11
    • 33749250911 scopus 로고    scopus 로고
    • Mining itemset utilities from transaction databases
    • H. Yao and H. J. Hamilton, Mining itemset utilities from transactiondatabases, Data Knowledge Engineering, vol.59, no.3, pp.603-626, 2006.
    • (2006) Data & Knowledge Engineering , vol.59 , Issue.3 , pp. 603-626
    • Yao, H.1    Hamilton, H.J.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.