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Volumn 4723 LNCS, Issue , 2007, Pages 1-12

Compact and understandable descriptions of mixtures of bernoulli distributions

Author keywords

[No Author keywords available]

Indexed keywords

CLUSTER ANALYSIS; DATA STRUCTURES; DISTRIBUTION FUNCTIONS; PARAMETER ESTIMATION; PROBABILITY;

EID: 38049069697     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-540-74825-0_1     Document Type: Conference Paper
Times cited : (11)

References (16)
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    • Burdick, D., Calimlim, M., Gehrke, J.: MAFIA: A maximal frequent itemset algorithm for transactional databases. In: Proceedings of the 17th International Conference on Data Engineering (ICDE'2001), pp. 443-452 (2001)
  • 5
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    • Probabilistic models for bacterial taxonomy
    • No 325, Turku Centre of Computer Science January
    • Gyllenberg, M., Koski, T.: Probabilistic models for bacterial taxonomy. TUCS Technical Report No 325, Turku Centre of Computer Science (January 2000)
    • (2000) TUCS Technical Report
    • Gyllenberg, M.1    Koski, T.2
  • 6
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    • Mixture models and frequent sets: Combining global and local methods for 0-1 data
    • Barbará, D, Kamath, C, eds, Society of Industrial and Applied Mathematics
    • Hollmén, J., Seppänen, J.K., Mannila, H.: Mixture models and frequent sets: combining global and local methods for 0-1 data. In: Barbará, D., Kamath, C. (eds.) Proceedings of the Third SIAM International Conference on Data Mining, pp. 289-293. Society of Industrial and Applied Mathematics (2003)
    • (2003) Proceedings of the Third SIAM International Conference on Data Mining , pp. 289-293
    • Hollmén, J.1    Seppänen, J.K.2    Mannila, H.3
  • 8
    • 38049040078 scopus 로고    scopus 로고
    • Mannila, H., Toivonen, H., Verkamo, A.I.: Efficient algorithms for discovering association rules. In: Knowledge Discovery in databases: Papers form the AAAI-94 Workshop (KDD'94), pp. 181-192. AAAI Press (1994)
    • Mannila, H., Toivonen, H., Verkamo, A.I.: Efficient algorithms for discovering association rules. In: Knowledge Discovery in databases: Papers form the AAAI-94 Workshop (KDD'94), pp. 181-192. AAAI Press (1994)
  • 10
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    • Beyond independence: Probabilistic models for query approximation on binary transaction data
    • Pavlov, D., Mannila, H., Smyth, P.: Beyond independence: Probabilistic models for query approximation on binary transaction data. IEEE Transactions on Knowledge and Data Engineering 15(6), 1409-1421 (2003)
    • (2003) IEEE Transactions on Knowledge and Data Engineering , vol.15 , Issue.6 , pp. 1409-1421
    • Pavlov, D.1    Mannila, H.2    Smyth, P.3
  • 12
    • 28444472323 scopus 로고    scopus 로고
    • Sparse regression for analyzing the development of foliar nutrient concentrations in coniferous trees
    • Sulkava, M., Tikka, J., Hollmén, J.: Sparse regression for analyzing the development of foliar nutrient concentrations in coniferous trees. Ecological Modeling 191(1), 118-130 (2006)
    • (2006) Ecological Modeling , vol.191 , Issue.1 , pp. 118-130
    • Sulkava, M.1    Tikka, J.2    Hollmén, J.3
  • 13
    • 38049083281 scopus 로고    scopus 로고
    • Mixture modeling of DNA copy number amplification patterns in cancer
    • Sandoval, F, Prieto, A, Cabestany, J, Graña, M, eds, IWANN 2007, Springer, Heidelberg
    • Tikka, J., Hollmén, J., Myllykangas, S.: Mixture modeling of DNA copy number amplification patterns in cancer. In: Sandoval, F., Prieto, A., Cabestany, J., Graña, M. (eds.) IWANN 2007. LNCS, vol. 4507, pp. 972-979. Springer, Heidelberg (2007)
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    • Tikka, J.1    Hollmén, J.2    Myllykangas, S.3
  • 14
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    • Analysis of fast input selection: Application in time series prediction
    • Kollias, S, Stafylopatis, A, Duch, W, Oja, E, eds, ICANN 2006, Springer, Heidelberg
    • Tikka, J., Lendasse, A., Hollmén, J.: Analysis of fast input selection: Application in time series prediction. In: Kollias, S., Stafylopatis, A., Duch, W., Oja, E. (eds.) ICANN 2006. LNCS, vol. 4132, pp. 161-170. Springer, Heidelberg (2006)
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* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.