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Volumn 69, Issue 9, 2010, Pages 965-978

Modeling the evolution of associated data

Author keywords

Evolution analysis; Knowledge discovery; Probabilistic model; Topic model

Indexed keywords

BAG OF WORDS; DATA SETS; EM ALGORITHMS; EVOLUTION ANALYSIS; KNOWLEDGE DISCOVERY; PROBABILISTIC MODELS; TOPIC MODEL;

EID: 77955279509     PISSN: 0169023X     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.datak.2010.03.009     Document Type: Article
Times cited : (8)

References (41)
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    • McCallum, A.1    Wang, X.2    Corrada-Emmanuel, A.3
  • 21
    • 18844377659 scopus 로고    scopus 로고
    • Knowledge discovery by probabilistic clustering of distributed databases
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    • (2005) Data Knowl. Eng. , vol.54 , Issue.2 , pp. 189-210
    • McClean, S.1    Scotney, B.2    Morrow, P.3    Greer, K.4
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    • 71749101234 scopus 로고    scopus 로고
    • Knowledge discovery from imbalanced and noisy data
    • J. Van Hulse, and T. Khoshgoftaar Knowledge discovery from imbalanced and noisy data Data Knowl. Eng. 68 12 2009 1513 1542
    • (2009) Data Knowl. Eng. , vol.68 , Issue.12 , pp. 1513-1542
    • Van Hulse, J.1    Khoshgoftaar, T.2
  • 37
    • 69249209926 scopus 로고    scopus 로고
    • Explaining instance classifications with interactions of subsets of feature values
    • E. Štrumbelj, I. Kononenko, and M. Robnik Šikonja Explaining instance classifications with interactions of subsets of feature values Data Knowl. Eng. 68 10 2009 886 904
    • (2009) Data Knowl. Eng. , vol.68 , Issue.10 , pp. 886-904
    • Štrumbelj, E.1    Kononenko, I.2    Robnik Šikonja, M.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.