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Volumn , Issue , 2011, Pages 475-478

The strategy of mining association rule based on cloud computing

Author keywords

Apriori; Association rule mining; Cloud computing; MapReduce; Parallel

Indexed keywords

ALLOCATION METHODS; APRIORI; APRIORI ALGORITHMS; ASSOCIATION RULE MINING; COMPUTING ENVIRONMENTS; DATA SETS; FREQUENT ITEMSET MINING; HIGHER EFFICIENCY; IMPROVED ALGORITHM; MAP-REDUCE; MASS DATA; MINING ASSOCIATION RULES; PARALLEL; PARALLEL ASSOCIATION RULE MINING; PROGRAMMING MODELS; TESTING PERFORMANCE;

EID: 80052885267     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/BCGIn.2011.125     Document Type: Conference Paper
Times cited : (88)

References (10)
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    • (2006) Electronic Science and Technology , Issue.1 , pp. 65-73
    • Liu, H.1    Yuan, Q.2    Wang, B.3
  • 9
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    • MapReduce: Simplified data processing on large clusters
    • Jeffrey Dean, Sanjay Ghemawat, MapReduce: Simplified data processing on large clusters, Communications of the ACM 51 (1) (2008) 107-113.
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    • Dean, J.1    Ghemawat, S.2
  • 10
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    • IBM Almaden Research Center, San Jose, California
    • R. Agrawal and R. Srikant. Quest Synthetic Data Generator. IBM Almaden Research Center, San Jose, California, http://www.Almaden.ibm.com/cs/quest/ syndata.html
    • Quest Synthetic Data Generator
    • Agrawal, R.1    Srikant, R.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.