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Volumn 3933 LNCS, Issue , 2006, Pages 165-187

Multi-class correlated pattern mining

Author keywords

[No Author keywords available]

Indexed keywords

ALGORITHMS; CONSTRAINT THEORY; CORRELATION THEORY; DATA MINING; DATABASE SYSTEMS; THEOREM PROVING;

EID: 33745796166     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/11733492_10     Document Type: Conference Paper
Times cited : (18)

References (12)
  • 3
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    • Detecting group differences: Mining contrast sets
    • Kluwer Academic Publishers
    • S. D. Bay and M. J. Pazzani. Detecting group differences: Mining contrast sets. In Data Mining and Knowledge Discovery, volume 5, pages 213-246. Kluwer Academic Publishers, 2001.
    • (2001) Data Mining and Knowledge Discovery , vol.5 , pp. 213-246
    • Bay, S.D.1    Pazzani, M.J.2
  • 4
    • 33646405093 scopus 로고    scopus 로고
    • Surprising results of trie-based FIM algorithms
    • Proceedings of the Workshop on Frequent Itemset Mining Implementations (FIMI)
    • F. Bodon. Surprising results of trie-based FIM algorithms. In Proceedings of the Workshop on Frequent Itemset Mining Implementations (FIMI), volume 90 of CEUR Workshop Proceedings, 2004.
    • (2004) CEUR Workshop Proceedings , vol.90
    • Bodon, F.1
  • 6
    • 14844361816 scopus 로고    scopus 로고
    • ROC 'n' rule learning - Towards a better understanding of covering algorithms
    • J. Fürnkranz and P. Flach. ROC 'n' rule learning - towards a better understanding of covering algorithms. In Machine Learning, volume 58, pages 39-77, 2005.
    • (2005) Machine Learning , vol.58 , pp. 39-77
    • Fürnkranz, J.1    Flach, P.2
  • 8
    • 34548735819 scopus 로고    scopus 로고
    • APRIORI-SD: Adapting association rule learning to subgroup discovery
    • Proceedings of the Fifth International Symposium on Intelligent Data Analysis, Springer-Verlag
    • B. Kavšek, N. Lavrač, and V. Jovanoski. APRIORI-SD: Adapting association rule learning to subgroup discovery. In Proceedings of the Fifth International Symposium on Intelligent Data Analysis, volume 2810 of Lecture Notes in Computer Science, pages 230-241. Springer-Verlag, 2003.
    • (2003) Lecture Notes in Computer Science , vol.2810 , pp. 230-241
    • Kavšek, B.1    Lavrač, N.2    Jovanoski, V.3
  • 9
    • 84974710130 scopus 로고    scopus 로고
    • Improving an exhaustive search based rule learner
    • Proceedings of the 4th European Conference on Principles and Practice of Knowledge Discovery in Databases (PKDD)
    • B. Liu, Y. Ma, and C.-K.Wong. Improving an exhaustive search based rule learner. In Proceedings of the 4th European Conference on Principles and Practice of Knowledge Discovery in Databases (PKDD), volume 1910 of Lecture Notes in Artificial Intelligence, pages 504-509, 2000.
    • (2000) Lecture Notes in Artificial Intelligence , vol.1910 , pp. 504-509
    • Liu, B.1    Ma, Y.2    Wong, C.K.3
  • 12
    • 22944469100 scopus 로고    scopus 로고
    • Cluster-grouping: From subgroup discovery to clustering
    • Proceedings of the 15th European Conference on Machine Learning (ECML)
    • A. Zimmermann and L. De Raedt. Cluster-grouping: From subgroup discovery to clustering. In Proceedings of the 15th European Conference on Machine Learning (ECML), volume 3201 of Lecture Notes in Computer Science, pages 575-577, 2004.
    • (2004) Lecture Notes in Computer Science , vol.3201 , pp. 575-577
    • Zimmermann, A.1    De Raedt, L.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.