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Volumn 2, Issue , 2005, Pages 433-444

MDL summarization with holes

Author keywords

[No Author keywords available]

Indexed keywords

DESCRIPTION LENGTH PRINCIPLE; GREEDY ALGORITHM; ONLINE ANALYTICAL PROCESSING (OLAP); OPTIMIZATION PROBLEM;

EID: 33745634667     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper
Times cited : (23)

References (17)
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    • M. Kozlov et al. Polynomial solvability of convex quadratic programming. Soviet Mathematics Doklady. 20, pp 1108-1111, 1979.
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    • Kozlov, M.1
  • 8
    • 33745436204 scopus 로고    scopus 로고
    • The generalized MDL approach for summarization
    • L. Lakshmanan et al. The Generalized MDL Approach for Summarization, VLDB 02, pp 766-777.
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  • 9
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    • Lakshmanan, L.1    Pei, J.2    Han, J.3
  • 10
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    • A. Mendelzon and K.Pu. Concise descriptions of subsets of structured sets. ACM PODS 03, pp 123-133.
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    • Mendelzon, A.1    Pu, K.2
  • 11
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    • J. Rissanen. Modelling by shortest data description. Automatica, volumne 14, pp 465-471, 1978.
    • (1978) Automatica , vol.14 , pp. 465-471
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    • 0012703526 scopus 로고    scopus 로고
    • Explaining differences in multidimensional aggregates
    • S. Sarawagi. Explaining differences in multidimensional aggregates. VLDB 99, pp 42-53.
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* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.