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Volumn , Issue , 2006, Pages 75-82

Matrix Apriori: Speeding up the search for frequent patterns

Author keywords

Association rules; Data mining; Databases; Frequent patterns

Indexed keywords

ALGORITHMS; COMPUTATIONAL METHODS; DATA MINING; USER INTERFACES; VECTORS;

EID: 38049186447     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper
Times cited : (27)

References (17)
  • 1
    • 0041779090 scopus 로고    scopus 로고
    • Towards Long Pattern Generation in Dense Database
    • July
    • C.C.Aggarwal, Towards Long Pattern Generation in Dense Database. ACMSlGKDD Explorations. Vol. 3, No. 1, July 2001, 20-26.
    • (2001) ACMSlGKDD Explorations , vol.3 , Issue.1 , pp. 20-26
    • Aggarwal, C.C.1
  • 9
    • 78149328321 scopus 로고    scopus 로고
    • J.Han, J.Wang, Y.Lu, and Tzvetkov, P. Mining Top-K Frequent Closed Patterns without Minimum Support In Proceedings of the 2002 IEEE International Conference on Data Mining (ICDM'02), 2002, 211-218.
    • J.Han, J.Wang, Y.Lu, and Tzvetkov, P. Mining Top-K Frequent Closed Patterns without Minimum Support In Proceedings of the 2002 IEEE International Conference on Data Mining (ICDM'02), 2002, 211-218.
  • 14
    • 38049126652 scopus 로고    scopus 로고
    • J.Pei, J.Han, R.Mao, CLOSET: An Efficient Algorithm for Mining Frequent Closed Itemsets. In: Proceedings of the ACM-SIGMOD International Workshop on Data Mining and Knowledge Discovery, 2000, 11-20.
    • J.Pei, J.Han, R.Mao, CLOSET: An Efficient Algorithm for Mining Frequent Closed Itemsets. In: Proceedings of the ACM-SIGMOD International Workshop on Data Mining and Knowledge Discovery, 2000, 11-20.


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.