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Volumn , Issue , 2006, Pages 46-59

Tracking drifting concepts by time window optimisation

Author keywords

[No Author keywords available]

Indexed keywords

DATA STREAMS; INTELLIGENT SYSTEMS; LEARNING SYSTEMS;

EID: 84881407066     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1007/978-1-84628-226-3_5     Document Type: Conference Paper
Times cited : (23)

References (18)
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  • 6
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    • Gradual forgetting for adaptation to concept drift
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    • Koychev, I.1
  • 7
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    • Tracking changing user interests through prior-learning of context
    • de Bra, P., Brusilovsky, P., Conejo, R. (eds. Springer-Verlag
    • Koychev, I.: Tracking Changing User Interests through Prior-Learning of Context. In: De Bra, P., Brusilovsky, P., Conejo, R. (eds.): Adaptive Hypermedia and Adaptive Web Based Systems. Lecture Notes in Computer Science, Vol. 2347, Springer-Verlag (2002) 223-232
    • (2002) Adaptive Hypermedia and Adaptive Web Based Systems. Lecture Notes in Computer Science , vol.2347 , pp. 223-232
    • Koychev, I.1
  • 9
    • 7444250214 scopus 로고    scopus 로고
    • Drifting concepts as hidden factors in clinical studies
    • Dojat, D., Elpida T. Keravnou, Pedro Barahona (Eds. AIME 2003, Protaras, Cyprus, October 18-22, 2003, Lecture Notes in Computer Science Springer-Verlag
    • Kukar, M.: Drifting Concepts as Hidden Factors in Clinical Studies. In Dojat, D., Elpida T. Keravnou, Pedro Barahona (Eds.): Proceedings of 9th Conference on Artificial Intelligence in Medicine in Europe, AIME 2003, Protaras, Cyprus, October 18-22, 2003, Lecture Notes in Computer Science, Vol. 2780, Springer-Verlag (2003) 355-364
    • (2003) Proceedings of 9th Conference on Artificial Intelligence in Medicine in Europe , vol.2780 , pp. 355-364
    • Kukar, M.1
  • 10
    • 7444250934 scopus 로고    scopus 로고
    • Fast and light boosting for adaptive mining of data streams
    • Lecture Notes in Computer Science Springer-Verlag
    • Chu, F.and Zaniolo, C.: Fast and light boosting for adaptive mining of data streams. In: Proc. of the 8th Pacific-Asia Conference on Knowledge Discovery and Data Mining. Lecture Notes in Computer Science, Vol.3056, Springer-Verlag, (2004) 282-292
    • (2004) Proc. of the 8th Pacific-Asia Conference on Knowledge Discovery and Data Mining , vol.3056 , pp. 282-292
    • Chu, F.1    Zaniolo, C.2
  • 12
    • 0034299906 scopus 로고    scopus 로고
    • Selecting examples for part ial memory learning
    • Maloof, M. and Michalski, R.: Selecting examples for part ial memory learning. Machine Learning 41 (2000) 27-52
    • (2000) Machine Learning , vol.41 , pp. 27-52
    • Maloof, M.1    Michalski, R.2
  • 15
    • 33744584654 scopus 로고
    • Induction of decision trees
    • Quinlan, R.: Induction of Decision Trees . Machine Learning 1 (1986) 81-106
    • (1986) Machine Learning , vol.1 , pp. 81-106
    • Quinlan, R.1
  • 16
    • 0010012318 scopus 로고
    • Incremental learning from noisy data
    • Schlimmer, 1. and Granger, R.: Incremental Learning from Noisy Data . Machine Learning 3, (1986), 317-357
    • (1986) Machine Learning , vol.3 , pp. 317-357
    • Schlimmer, I.1    Granger, R.2
  • 17
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    • Tracking changes through meta-learning
    • Widmer, G.: Tracking Changes through Meta-Learning. Machine Learning 27 (1997) 256286
    • (1997) Machine Learning , vol.27 , pp. 256286
    • Widmer, G.1
  • 18
    • 0030126609 scopus 로고    scopus 로고
    • Learning in the presence of concept drift and hidden contexts
    • Widmer, G. and Kubat, M.: Learning in the presence of concept drift and hidden contexts: Machine Learning 23 (1996) 69-101
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    • Widmer, G.1    Kubat, M.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.