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Volumn 3314, Issue , 2004, Pages 705-710

Knowledge Maintenance on Data Streams with Concept Drifting

Author keywords

[No Author keywords available]

Indexed keywords

DATA MINING; DECISION TREES; ROUGH SET THEORY; DATA COMMUNICATION SYSTEMS; DECISION TABLES; TREES (MATHEMATICS);

EID: 33749599281     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-540-30497-5_110     Document Type: Article
Times cited : (4)

References (9)
  • 4
    • 0030231557 scopus 로고    scopus 로고
    • Efficient incremental induction of decision trees
    • Kalles, D., Morris, T.: Efficient incremental induction of decision trees. Machine Learning 24 (1996) 231-242
    • (1996) Machine Learning , vol.24 , pp. 231-242
    • Kalles, D.1    Morris, T.2
  • 7
    • 78149292125 scopus 로고    scopus 로고
    • Dynamic weighted majority: A new ensemble method for tracking concept drift
    • Bangalore, India
    • Kolter, J.Z., Maloof, M.A.: Dynamic weighted majority: A new ensemble method for tracking concept drift. In: International Conference on Data Engineering, Bangalore, India (2003)
    • (2003) International Conference on Data Engineering
    • Kolter, J.Z.1    Maloof, M.A.2
  • 9
    • 0033522694 scopus 로고    scopus 로고
    • Representation of prepositional expert systems as partial functions
    • Colomb, R.M.: Representation of prepositional expert systems as partial functions. Artificial Intelligence 109 (1999) 187-209
    • (1999) Artificial Intelligence , vol.109 , pp. 187-209
    • Colomb, R.M.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.