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Volumn 2007, Issue , 2001, Pages 20-30

Refined time stamps for concept drift detection during mining for classification rules

Author keywords

[No Author keywords available]

Indexed keywords

CLASSIFICATION (OF INFORMATION); DECISION TREES; TREES (MATHEMATICS);

EID: 84945272719     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/3-540-45244-3_3     Document Type: Conference Paper
Times cited : (5)

References (10)
  • 1
    • 0013224752 scopus 로고    scopus 로고
    • Maintaining the Performance of a Learned Classifier under Concept Drift
    • Black, M., Hickey, R.J.: Maintaining the Performance of a Learned Classifier under Concept Drift. Intelligent Data Analysis 3 (1999) 453-474
    • (1999) Intelligent Data Analysis , vol.3 , pp. 453-474
    • Black, M.1    Hickey, R.J.2
  • 3
    • 22944487509 scopus 로고
    • Concept Versioning: A Methodology for Tracking Evolutionary Concept Drift in Dynamic Concept Systems
    • Wiley, Chichester, England
    • Klenner, M., Hahn, U.: (1994). Concept Versioning: A Methodology for Tracking Evolutionary Concept Drift in Dynamic Concept Systems. In: Proceedings of Eleventh European Conference on Artificial Intelligence, Wiley, Chichester, England, 473-477
    • (1994) Proceedings of Eleventh European Conference on Artificial Intelligence , pp. 473-477
    • Klenner, M.1    Hahn, U.2
  • 4
    • 0010012318 scopus 로고
    • Incremental Learning from Noisy Data
    • Schlimmer, J.C., Granger, R.H.: Incremental Learning from Noisy Data. Machine Learning 1 (1986) 317-354
    • (1986) Machine Learning , vol.1 , pp. 317-354
    • Schlimmer, J.C.1    Granger, R.H.2
  • 5
    • 0002896413 scopus 로고
    • Tracking Drifting Concepts by Minimising Disagreements
    • Hembold, D.P., Long, P.M.: Tracking Drifting Concepts by Minimising Disagreements. Machine Learning 14 (1994) 27-45
    • (1994) Machine Learning , vol.14 , pp. 27-45
    • Hembold, D.P.1    Long, P.M.2
  • 6
    • 0031164523 scopus 로고    scopus 로고
    • Tracking Changes through Meta-Learning
    • Widmer, G.: Tracking Changes through Meta-Learning. Machine Learning 27 (1997) 259-286
    • (1997) Machine Learning , vol.27 , pp. 259-286
    • Widmer, G.1
  • 7
    • 0030126609 scopus 로고    scopus 로고
    • Learning in the Presence of Concept Drift and Hidden Contexts
    • Widmer, G., Kubat, M.: Learning in the Presence of Concept Drift and Hidden Contexts. Machine Learning 23 (1996) 69-101
    • (1996) Machine Learning , vol.23 , pp. 69-101
    • Widmer, G.1    Kubat, M.2
  • 10
    • 84945263190 scopus 로고
    • C4.5: Programs for Machine Learning. Morgan Kaufmann, San Mateo, California
    • Quinlan, J.R.: C4.5: Programs for Machine Learning. Morgan Kaufmann, San Mateo, California (1993)
    • (1993)
    • Quinlan, J.R.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.