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Volumn 1, Issue , 2005, Pages 1250-1255

Domain and data partitioning for parallel mining of frequent closed itemsets

Author keywords

Association rule; Conditional database; Frequent closed itemset; Parallel algorithm; Parallel data mining; Partitioning

Indexed keywords

CONDITIONAL DATABASE; DATA PARTITIONING; DATABASE PARTITIONING; FREQUENT CLOSED ITEMSETS; INTER PROCESSOR COMMUNICATION; LARGE DATABASE; LOAD BALANCE; PARALLEL DATA MINING; PARALLEL PROCESSOR; POWER SET; SEARCH SPACES; SUB-LATTICES;

EID: 34248367568     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1145/1167350.1167423     Document Type: Conference Paper
Times cited : (5)

References (13)
  • 10
    • 4544277998 scopus 로고    scopus 로고
    • A super-programming approach for mining association rules in parallel on pc clusters
    • Dejiang Jin and Sotirios G. Ziavras. A super-programming approach for mining association rules in parallel on pc clusters. IEEE Transactions on Parallel and Distributed Systems, 15:783-794, 2004.
    • (2004) IEEE Transactions on Parallel and Distributed Systems , vol.15 , pp. 783-794
    • Jin, D.1    Ziavras, S.G.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.