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Volumn 1, Issue , 2008, Pages 37-48

DATA-PEELER: Constraint-based closed pattern mining in n-ary relations

Author keywords

[No Author keywords available]

Indexed keywords

BINARY RELATION; CONSTRAINT-BASED; CONSTRAINT-BASED MINING; FREQUENT CLOSED SETS; ORDERS OF MAGNITUDE; PATTERN DISCOVERY; STATE-OF-THE-ART ALGORITHMS; TERNARY RELATIONS;

EID: 52649098497     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1137/1.9781611972788.4     Document Type: Conference Paper
Times cited : (58)

References (20)
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  • 4
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    • Constraint-Eased Formal Concept Mining and its Application to Microarray Data Analysis
    • IOS Press
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    • Besson, J.1    Robardet, C.2    Boulicaut, J.-F.3    Rome, S.4
  • 7
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    • A Generic Algorithm for Generating Closed Sets of a Binary Relation
    • A. Gely, A Generic Algorithm for Generating Closed Sets of a Binary Relation, IFCA'05, Springer LNCS 3403, pp. 223-234.
    • IFCA'05, Springer LNCS , vol.3403 , pp. 223-234
    • Gely, A.1
  • 10
    • 0039253846 scopus 로고    scopus 로고
    • Mining Frequent Patterns without Candidate Generation
    • J. Han, J. Pei, and Y. Yin. Mining Frequent Patterns without Candidate Generation, ACM SIGMOD'00, pp. 1-12.
    • ACM SIGMOD'00 , pp. 1-12
    • Han, J.1    Pei, J.2    Yin, Y.3
  • 13
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    • The Map Method for Synthesis of Combinational Logic Circuits
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    • Karnaugh, M.1
  • 14
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    • Mining Coherent Gene Clusters from Gene-Sample-Time Microarray Data
    • D. Jiang, J. Pei, M. Ramanathan, C. Tang and A. Zhang, Mining Coherent Gene Clusters from Gene-Sample-Time Microarray Data, ACM SIGKDD'04, pp. 430-439.
    • ACM SIGKDD'04 , pp. 430-439
    • Jiang, D.1    Pei, J.2    Ramanathan, M.3    Tang, C.4    Zhang, A.5
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    • Beyond Streams and Graphs: Dynamic Tensor Analysis
    • J. Sun, D. Tao and C. Faloutsos, Beyond Streams and Graphs: Dynamic Tensor Analysis, ACM SIGKDD'06, pp. 374-383.
    • ACM SIGKDD'06 , pp. 374-383
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  • 17
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    • LCM ver.3: Collaboration of Array, Bitmap and Prefix Tree for Frequent Itemset Mining
    • T. Uno, M. Kiyomi and H. Arimura, LCM ver.3: Collaboration of Array, Bitmap and Prefix Tree for Frequent Itemset Mining, ACM OSDM'05, pp. 77-86.
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    • CLOSET+: Searching for the Best Strategies for Mining Frequent Closed Itemsets
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  • 20
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* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.