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Volumn , Issue , 2007, Pages 765-774

Characterising the difference

Author keywords

Compression; Database dissimilarity; Temporal data mining

Indexed keywords

DATA PROCESSING; DATABASE SYSTEMS; PATTERN RECOGNITION; PROBLEM SOLVING; REAL TIME SYSTEMS;

EID: 36849001342     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1145/1281192.1281274     Document Type: Conference Paper
Times cited : (47)

References (13)
  • 1
    • 44649102549 scopus 로고    scopus 로고
    • Bathoorn, R., Koopman, A., and Siebes, A. Reducing the Frequent Pattern Set. In Proceedings IEEE Conf. on Data Mining- Workshops (ICDMW'06) 2006, 55-59.
    • Bathoorn, R., Koopman, A., and Siebes, A. Reducing the Frequent Pattern Set. In Proceedings IEEE Conf. on Data Mining- Workshops (ICDMW'06) 2006, 55-59.
  • 6
    • 21844446593 scopus 로고    scopus 로고
    • Mining border descriptions of emerging patterns from dataset pairs
    • Aug
    • Dong, G., and Li, J. Mining border descriptions of emerging patterns from dataset pairs. In Knowledge and Information Systems. 8,2 (Aug 2005), 178-202.
    • (2005) Knowledge and Information Systems , vol.8 , Issue.2 , pp. 178-202
    • Dong, G.1    Li, J.2
  • 8
    • 33645034499 scopus 로고    scopus 로고
    • Minimum description length tutorial
    • Grünwald, P.D, Myung, I.J. & Pitt, M.A, editors, MIT Press
    • Grünwald, P.D. Minimum description length tutorial. In Advances in Minimum Description Length (Grünwald, P.D., Myung, I.J. & Pitt, M.A., editors). MIT Press, 2005.
    • (2005) Advances in Minimum Description Length
    • Grünwald, P.D.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.