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Volumn 15, Issue , 2011, Pages 1827-1831

An improved Apriori algorithm based on the Boolean matrix and Hadoop

Author keywords

Apriori algorithm; Boolean marix; Frequent item sets; Hadoop

Indexed keywords

APRIORI ALGORITHMS; BOOLEAN MARIX; BOOLEAN MATRIX; BOTTLENECK PROBLEM; HADOOP; ITEM SETS; MATRIX; MINIMUM SUPPORT; MINING ALGORITHMS; RANDOM ACCESS; TRANSACTION DATABASE;

EID: 84055189234     PISSN: 18777058     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1016/j.proeng.2011.08.340     Document Type: Conference Paper
Times cited : (63)

References (7)
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  • 4
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    • Hipp, J.1    Guntzer, U.2    Nakaeizadeh, G.3
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    • Fast algorithms for mining association rules
    • Santiago, Chile, September
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    • (1994) Proc. 1994 Int. Conf. Very Large Data Bases , pp. 487-499
    • Agrawal, R.1    Srikant, R.2
  • 6
    • 0027621699 scopus 로고
    • Mining association rules between sets of items in large databases[C]
    • Washington, D.C, May
    • Agrawal R, Imielinski T, Swami A. Mining association rules between sets of items in large databases[C]. In: Proc. of the l993ACM on Management of Data, Washington, D.C, May 1993. 207-216
    • (1993) Proc. of the L993ACM on Management of Data , pp. 207-216
    • Agrawal, R.1    Imielinski, T.2    Swami, A.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.