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Volumn , Issue , 2009, Pages 969-976

Multi-assignment clustering for Boolean data

Author keywords

[No Author keywords available]

Indexed keywords

ALTERNATIVE STATE; CLUSTER STABILITY; COMPUTER SECURITY; CONVENTIONAL CLUSTERING; DATA ITEMS; DETERMINISTIC ANNEALING; HIGH NOISE LEVELS; MULTIPLE CLUSTERS; OBSERVED DATA; PERFORMANCE GAIN; REAL-WORLD; SOURCE PARAMETERS; STATE-OF-THE-ART APPROACH; VECTORIAL DATA;

EID: 71149085556     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper
Times cited : (50)

References (17)
  • 1
    • 0027621699 scopus 로고
    • Mining association rules between sets of items in large databases
    • Agrawal, R., Imieliński, T., & Swami, A. (1993). Mining association rules between sets of items in large databases. Int Conf on Mngm of Data, 22, 207-216.
    • (1993) Int Conf on Mngm of Data , vol.22 , pp. 207-216
    • Agrawal, R.1    Imieliński, T.2    Swami, A.3
  • 8
    • 44649150208 scopus 로고    scopus 로고
    • Factorisation and denoising of 0-1 data: A variational approach
    • Kabán, A., & Bingham, E. (2008). Factorisation and denoising of 0-1 data: A variational approach. Neu-rocomputing, 71, 2291-2308.
    • (2008) Neu-rocomputing , vol.71 , pp. 2291-2308
    • Kabán, A.1    Bingham, E.2
  • 10
    • 0242625194 scopus 로고    scopus 로고
    • Role mining - revealing business roles for security administration using data mining technology
    • Kuhlmann, M., Shohat, D., & Schimpf, G. (2003). Role mining - revealing business roles for security administration using data mining technology. Symp on Access Control Models and Technologies (pp. 179-186).
    • (2003) Symp on Access Control Models and Technologies , pp. 179-186
    • Kuhlmann, M.1    Shohat, D.2    Schimpf, G.3
  • 11
    • 2442611856 scopus 로고    scopus 로고
    • Stability-based validation of clustering solutions
    • Lange, T., Roth, V., Braun, M. L., & Buhmann, J. M. (2004). Stability-based validation of clustering solutions. Neural Computation, 16, 1299-1323.
    • (2004) Neural Computation , vol.16 , pp. 1299-1323
    • Lange, T.1    Roth, V.2    Braun, M.L.3    Buhmann, J.M.4
  • 15
    • 56149116656 scopus 로고    scopus 로고
    • Classification of multi-labeled data: A generative approach
    • Streich, A. P., & Buhmann, J. M. (2008). Classification of multi-labeled data: A generative approach. Europ Conf on Machine Learning (pp. 390-405).
    • (2008) Europ Conf on Machine Learning , pp. 390-405
    • Streich, A.P.1    Buhmann, J.M.2
  • 17
    • 80053160972 scopus 로고    scopus 로고
    • A non-parametric bayesian method for inferring hidden causes
    • Wood, F. (2006). A non-parametric bayesian method for inferring hidden causes. Conf on Uncertainty in Artificial Intelligence (pp. 536-543).
    • (2006) Conf on Uncertainty in Artificial Intelligence , pp. 536-543
    • Wood, F.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.