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Volumn , Issue , 2004, Pages 180-191

Detecting Change in Data Streams

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EID: 85123650840     PISSN: None     EISSN: None     Source Type: Book    
DOI: 10.1016/B978-012088469-8.50019-X     Document Type: Chapter
Times cited : (735)

References (24)
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  • 7
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    • Mining surprising patterns using temporal description length
    • S. Chakrabarti, S. Sarawagi and B. Dom (1998) Mining surprising patterns using temporal description length. VLDB
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    • Chakrabarti, S.1    Sarawagi, S.2    Dom, B.3
  • 8
    • 0031648870 scopus 로고    scopus 로고
    • Representing and querying changes in semistructured data
    • S.S. Chawathe, S. Abiteboul and J. Widom (1998) Representing and querying changes in semistructured data. ICDE
    • (1998) ICDE
    • Chawathe, S.S.1    Abiteboul, S.2    Widom, J.3
  • 9
    • 0031167952 scopus 로고    scopus 로고
    • Meaningful change detection in structured data
    • S.S. Chawathe and H. Garcia-Molina (1997) Meaningful change detection in structured data. SIGMOD
    • (1997) SIGMOD
    • Chawathe, S.S.1    Garcia-Molina, H.2
  • 17
    • 85136006987 scopus 로고    scopus 로고
    • G. Hulten, L. Spencer, and P. Domingos. Mining timechanging data streams. In KDD 2001.
    • G. Hulten, L. Spencer, and P. Domingos. Mining timechanging data streams. In KDD 2001.
  • 18
    • 85135973027 scopus 로고    scopus 로고
    • J. M. Kleinberg. Bursty and hierarchical structure in streams. In KDD 2002.
    • J. M. Kleinberg. Bursty and hierarchical structure in streams. In KDD 2002.
  • 19
    • 0025952277 scopus 로고
    • Divergence measures based on the shannon entropy
    • J. Lin (1991) Divergence measures based on the shannon entropy. IEEE Transactions on Information Theory 37(1), 145-151.
    • (1991) IEEE Transactions on Information Theory , vol.37 , Issue.1 , pp. 145-151
    • Lin, J.1
  • 20
    • 84884973590 scopus 로고    scopus 로고
    • A fast multi-resolution method for detection of significant spatial overdenisities
    • June
    • D. Neill and A. Moore (June 2003) A fast multi-resolution method for detection of significant spatial overdenisities. Carnegie Mellon CSD Technical Report
    • (2003) Carnegie Mellon CSD Technical Report
    • Neill, D.1    Moore, A.2
  • 23
    • 0030126609 scopus 로고    scopus 로고
    • Learning in the presence of concept drift and hidden contexts
    • G. Widmer and M. Kubat (1996) Learning in the presence of concept drift and hidden contexts. Machine Learning 23(1), 69-101.
    • (1996) Machine Learning , vol.23 , Issue.1 , pp. 69-101
    • Widmer, G.1    Kubat, M.2
  • 24
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    • Individual comparisons by ranking methods
    • F. Wilcoxon (1945) Individual comparisons by ranking methods. Biometrics Bulletin 1 80-83.
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    • Wilcoxon, F.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.