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Volumn , Issue , 2007, Pages 71-76

CTU-mine: An efficient high utility itemset mining algorithm using the pattern growth approach

Author keywords

Frequent pattern; High utility itemset; Utility mining

Indexed keywords

FREQUENT PATTERN; HIGH UTILITY ITEMSET; UTILITY MINING;

EID: 38049077406     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/CIT.2007.4385059     Document Type: Conference Paper
Times cited : (91)

References (9)
  • 1
    • 0027621699 scopus 로고
    • Mining Association Rules between Sets of Items in Large Database
    • R. Agrawal, T. Imielinski, and A. Swami, "Mining Association Rules between Sets of Items in Large Database", Proc. ACM SIGMOD Intl. Conf, 1993, pp 207-216.
    • (1993) Proc. ACM SIGMOD Intl. Conf , pp. 207-216
    • Agrawal, R.1    Imielinski, T.2    Swami, A.3
  • 2
    • 33749250911 scopus 로고    scopus 로고
    • Mining itemset utilities from transaction databases
    • H. Yao and H. J. Hamilton, "Mining itemset utilities from transaction databases", Data & Knowledge Engineering, vol. 59, 2006, pp. 603-626.
    • (2006) Data & Knowledge Engineering , vol.59 , pp. 603-626
    • Yao, H.1    Hamilton, H.J.2
  • 4
    • 77953605998 scopus 로고    scopus 로고
    • A Fast High. Utility Itemsets Mining Algorithm
    • Chicago Illinois
    • Y. Liu, W.-K Liao, and A. Choudhary, "A Fast High. Utility Itemsets Mining Algorithm", Proc. UBDM'05, Chicago Illinois, 2005.
    • (2005) Proc. UBDM'05
    • Liu, Y.1    Liao, W.-K.2    Choudhary, A.3
  • 7
    • 1442326768 scopus 로고    scopus 로고
    • Fast Frequent Itemset Mining using Compressed Data Representation
    • Innsbruck, Austria
    • R. P. Gopalan and Y. G. Sucahyo, "Fast Frequent Itemset Mining using Compressed Data Representation", Proc. IASTED Intl Conf on Databases and Applications, Innsbruck, Austria, 2003, pp 1203-1208.
    • (2003) Proc. IASTED Intl Conf on Databases and Applications , pp. 1203-1208
    • Gopalan, R.P.1    Sucahyo, Y.G.2
  • 9
    • 2442586054 scopus 로고    scopus 로고
    • IBM
    • IBM, "IBM Synthetic Data Generator http://www.almaden.ibm.com/ sonware/quest/resources/index.shtml."
    • IBM Synthetic Data Generator


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.