메뉴 건너뛰기




Volumn , Issue , 2011, Pages 604-608

Drift detection using uncertainty distribution divergence

Author keywords

Classifier confidence; Concept drift; Explicit drift detection; Labelling cost

Indexed keywords

CONCEPT DRIFTS; DETECTION APPROACH; MACHINE LEARNING COMMUNITIES; NATURALLY OCCURRING; UNCERTAINTY DISTRIBUTIONS;

EID: 84857152627     PISSN: 15504786     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICDMW.2011.70     Document Type: Conference Paper
Times cited : (20)

References (18)
  • 2
    • 0024896089 scopus 로고
    • Floating approximation in time-varying knowledge bases
    • M. Kubat, "Floating approximation in time-varying knowledge bases," Pattern recognition letters, vol. 10, pp. 223-227, 1989.
    • (1989) Pattern Recognition Letters , vol.10 , pp. 223-227
    • Kubat, M.1
  • 4
    • 84857164562 scopus 로고    scopus 로고
    • Handling concept drift in a text data stream constrained by high labelling cost
    • P. Lindstrom, S. Delany, and B. Mac Namee, "Handling concept drift in a text data stream constrained by high labelling cost," in in FLAIRS10, 2010, p. 3237.
    • (2010) FLAIRS10 , pp. 3237
    • Lindstrom, P.1    Delany, S.2    Mac Namee, B.3
  • 6
    • 0009300196 scopus 로고    scopus 로고
    • Adaptive information filtering: Learning in the presence of concept drifts
    • R. Klinkenberg and I. Renz, "Adaptive information filtering: Learning in the presence of concept drifts," Learning for Text Categorization, p. 3340, 1998.
    • (1998) Learning for Text Categorization , pp. 3340
    • Klinkenberg, R.1    Renz, I.2
  • 8
    • 41649099657 scopus 로고    scopus 로고
    • An active learning system for mining time-changing data streams
    • S. Huang and Y. Dong, "An active learning system for mining time-changing data streams." Intelligent Data Analysis, vol. 11, no. 4, pp. 401 - 419, 2007.
    • (2007) Intelligent Data Analysis , vol.11 , Issue.4 , pp. 401-419
    • Huang, S.1    Dong, Y.2
  • 10
    • 37349022259 scopus 로고    scopus 로고
    • An incremental cluster-based approach to spam filtering
    • Apr.
    • W. Hsiao and T. Chang, "An incremental cluster-based approach to spam filtering," Expert Systems with Applications, vol. 34, no. 3, pp. 1599-1608, Apr. 2008.
    • (2008) Expert Systems with Applications , vol.34 , Issue.3 , pp. 1599-1608
    • Hsiao, W.1    Chang, T.2
  • 11
    • 35248892821 scopus 로고    scopus 로고
    • Olindda: A cluster-based approach for detecting novelty and concept drift in data streams
    • ACM
    • E. J. Spinosa and F. de Leon, "Olindda: A cluster-based approach for detecting novelty and concept drift in data streams," in In Proc. ACM symposium on Applied computing. ACM, 2007, p. 452.
    • (2007) Proc. ACM Symposium on Applied Computing , pp. 452
    • Spinosa, E.J.1    De Leon, F.2
  • 13
    • 38349032865 scopus 로고    scopus 로고
    • Change detection in learning histograms from data streams
    • R. Sebastião and J. Gama, "Change detection in learning histograms from data streams," in Progress in Artificial Intelligence, 2007, vol. 4874, pp. 112-123.
    • (2007) Progress in Artificial Intelligence , vol.4874 , pp. 112-123
    • Sebastião, R.1    Gama, J.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.