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Volumn 1, Issue , 2006, Pages 657-661

Data streams classification by incremental rule learning with parameterized generalization

Author keywords

[No Author keywords available]

Indexed keywords

ALGORITHMS; DATA MINING; DATA REDUCTION; DECISION THEORY; HEURISTIC METHODS; LEARNING SYSTEMS;

EID: 33751065910     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1145/1141277.1141428     Document Type: Conference Paper
Times cited : (17)

References (19)
  • 1
    • 25444465382 scopus 로고    scopus 로고
    • Incremental rule learning and border examples selection from numerical data streams
    • F. FerrerTroyano, J. Aguilar-Ruiz, and J. Riquelme. Incremental rule learning and border examples selection from numerical data streams. Journal of Universal Computer Science, 11(8):1426-1439, 2005.
    • (2005) Journal of Universal Computer Science , vol.11 , Issue.8 , pp. 1426-1439
    • FerrerTroyano, F.1    Aguilar-Ruiz, J.2    Riquelme, J.3
  • 4
    • 2442617843 scopus 로고    scopus 로고
    • Issues in data stream management
    • L. Golab and M. Ozsu. Issues in data stream management. SIGMOD Record, 32(2):5-14, 2003.
    • (2003) SIGMOD Record , vol.32 , Issue.2 , pp. 5-14
    • Golab, L.1    Ozsu, M.2
  • 5
  • 12
    • 1242310003 scopus 로고    scopus 로고
    • Incremental learning with partial instance memory
    • M. Maloof and R. Michalski. Incremental learning with partial instance memory. Artificial Intelligence, 154:95-126, 2004.
    • (2004) Artificial Intelligence , vol.154 , pp. 95-126
    • Maloof, M.1    Michalski, R.2
  • 13
    • 0031070068 scopus 로고    scopus 로고
    • Tolerating concept and sampling shift in lazy learning using prediction error context switching
    • M. Salganicoff. Tolerating concept and sampling shift in lazy learning using prediction error context switching. AI Review, Special Issue on Lazy Learning, 11(1-5):133-155, 1997.
    • (1997) AI Review, Special Issue on Lazy Learning , vol.11 , Issue.1-5 , pp. 133-155
    • Salganicoff, M.1
  • 14
    • 0010012318 scopus 로고
    • Incremental learning from noisy data
    • J. Schlimmer and R. Granger. Incremental learning from noisy data. Machine Learning, 1(3):317-354, 1986.
    • (1986) Machine Learning , vol.1 , Issue.3 , pp. 317-354
    • Schlimmer, J.1    Granger, R.2
  • 19
    • 0030126609 scopus 로고    scopus 로고
    • Learning in the presence of concept drift and hidden contexts
    • G. Widmer and M. Kubat. Learning in the presence of concept drift and hidden contexts. Machine Learning, 23(1):69-101, 1996.
    • (1996) Machine Learning , vol.23 , Issue.1 , pp. 69-101
    • Widmer, G.1    Kubat, M.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.