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Volumn 4587 LNCS, Issue , 2007, Pages 235-246

Max-FTP: Mining maximal fault-tolerant frequent patterns from databases

Author keywords

Association rules; Bit vector representation; Fault tolerant frequent patterns mining; Maximal frequent patterns mining

Indexed keywords

ALGORITHMS; ASSOCIATION RULES; DATABASE SYSTEMS; FAULT TOLERANCE;

EID: 38349063037     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-540-73390-4_26     Document Type: Conference Paper
Times cited : (3)

References (7)
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    • 0035007850 scopus 로고    scopus 로고
    • Mafia: A maximal frequent itemset algorithm for transactional databases
    • Burdick, D., Calimlim, M., Gehrke, J.: Mafia: A maximal frequent itemset algorithm for transactional databases. In: Proc. of ICDE Conf, pp. 443-452 (2001)
    • (2001) Proc. of ICDE Conf , pp. 443-452
    • Burdick, D.1    Calimlim, M.2    Gehrke, J.3
  • 3
    • 0032091573 scopus 로고    scopus 로고
    • Efficiently mining long patterns from databases
    • Bayardo, R.J.: Efficiently mining long patterns from databases. SIGMOD, 85-93 (1998)
    • (1998) SIGMOD , vol.85-93
    • Bayardo, R.J.1
  • 4
    • 38349057097 scopus 로고    scopus 로고
    • Koh, J.L., Yo, P.: An Efficient Approach for Mining Fault-Tolerant Frequent Patterns based on Bit Vector Representations. In: Zhou, L.-z., Ooi, B.-C., Meng, X. (eds.) DASFAA 2005. LNCS, 3453, pp. 17-20. Springer, Heidelberg (2005)
    • Koh, J.L., Yo, P.: An Efficient Approach for Mining Fault-Tolerant Frequent Patterns based on Bit Vector Representations. In: Zhou, L.-z., Ooi, B.-C., Meng, X. (eds.) DASFAA 2005. LNCS, vol. 3453, pp. 17-20. Springer, Heidelberg (2005)
  • 5
    • 78149351437 scopus 로고    scopus 로고
    • Efficiently mining maximal frequent itemsets
    • Gouda, K., Zaki, M.J.: Efficiently mining maximal frequent itemsets. In: ICDM, pp. 163-170 (2001)
    • (2001) ICDM , pp. 163-170
    • Gouda, K.1    Zaki, M.J.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.