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Volumn , Issue , 2009, Pages 1496-1500

Evaluating algorithms that learn from data streams

Author keywords

Learning from data streams; Metrics and evaluation methods

Indexed keywords

DATA STREAM; DECISION MODELS; EVALUATING ALGORITHMS; EVALUATION METHOD; NON-STATIONARY ENVIRONMENT; RESEARCH AREAS; RESOURCE AWARE; SEQUENTIAL ERROR; SLIDING WINDOW;

EID: 72949119714     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1145/1529282.1529616     Document Type: Conference Paper
Times cited : (35)

References (20)
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  • 7
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    • Statistical comparisons of classifiers over multiple data sets
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  • 8
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    • Dietterich, T.1
  • 9
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    • Pedro Domingos and Geoff Hulten. Mining High-Speed Data Streams. In Ismail Parsa, Raghu Ramakrishnan, and Sal Stolfo, editors, Proceedings of the ACM Sixth International Conference on Knowledge Discovery and Data Mining, pages 71-80. ACM Press, 2000.
    • Pedro Domingos and Geoff Hulten. Mining High-Speed Data Streams. In Ismail Parsa, Raghu Ramakrishnan, and Sal Stolfo, editors, Proceedings of the ACM Sixth International Conference on Knowledge Discovery and Data Mining, pages 71-80. ACM Press, 2000.
  • 14
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    • Handbook of Sequential Analysis
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* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.