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Volumn , Issue , 2007, Pages 757-762

Active learning from data streams

Author keywords

[No Author keywords available]

Indexed keywords

ADMINISTRATIVE DATA PROCESSING; CLASSIFICATION (OF INFORMATION); CLASSIFIERS; DECISION SUPPORT SYSTEMS; EDUCATION; INFORMATION MANAGEMENT; LABELING; LABELS; LEARNING SYSTEMS; MINING; RESEARCH; RIVERS; SEARCH ENGINES;

EID: 49749138225     PISSN: 15504786     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICDM.2007.101     Document Type: Conference Paper
Times cited : (102)

References (20)
  • 2
    • 77952415079 scopus 로고    scopus 로고
    • Mining concept-drifting data streams using ensemble classifiers
    • H. Wang, W. Fan, P. Yu, & J. Han, Mining concept-drifting data streams using ensemble classifiers, Proc. of KDD, 2003.
    • (2003) Proc. of KDD
    • Wang, H.1    Fan, W.2    Yu, P.3    Han, J.4
  • 3
    • 77954439407 scopus 로고    scopus 로고
    • Schema-based scheduling of event processors and buffer minimization for queries on structured data streams
    • C. Koch, S. Scherzinger, N. Schweikardt, & B. Stegmaier, Schema-based scheduling of event processors and buffer minimization for queries on structured data streams. Proceedings of VLDB 2004.
    • (2004) Proceedings of VLDB
    • Koch, C.1    Scherzinger, S.2    Schweikardt, N.3    Stegmaier, B.4
  • 5
    • 19544377965 scopus 로고    scopus 로고
    • Moment: Maintaining closed frequent itemsets over a stream sliding window data streams
    • Y. Chi, H. Wang, P. Yu, & R. Muntz, Moment: Maintaining closed frequent itemsets over a stream sliding window data streams, Proc. of ICDM 2004.
    • (2004) Proc. of ICDM
    • Chi, Y.1    Wang, H.2    Yu, P.3    Muntz, R.4
  • 6
    • 33749559199 scopus 로고    scopus 로고
    • Suppressing model overfitting in mining concept-drifting data streams
    • H. Wang, J. Yin, J. Pei, P. Yu, & J. Yu, Suppressing model overfitting in mining concept-drifting data streams, Proc. of KDD, 2006.
    • (2006) Proc. of KDD
    • Wang, H.1    Yin, J.2    Pei, J.3    Yu, P.4    Yu, J.5
  • 7
    • 32344442287 scopus 로고    scopus 로고
    • Combining proactive and reactive predictions of data streams
    • Y. Yang, X. Wu, & X. Zhu, Combining proactive and reactive predictions of data streams, Proc. of KDD, 2005.
    • (2005) Proc. of KDD
    • Yang, Y.1    Wu, X.2    Zhu, X.3
  • 8
    • 0346660758 scopus 로고    scopus 로고
    • A streaming ensemble algorithm (SEA) for large-scale classification
    • W. Street & Y. Kim, A streaming ensemble algorithm (SEA) for large-scale classification, Proc. of KDD, 2001.
    • (2001) Proc. of KDD
    • Street, W.1    Kim, Y.2
  • 9
    • 19544387592 scopus 로고    scopus 로고
    • Decision tree evolution using limited number of labeled data items from drifting data streams
    • W. Fan, Y. Huang, P. Yu, Decision tree evolution using limited number of labeled data items from drifting data streams, Proc. of ICDM 2004.
    • (2004) Proc. of ICDM
    • Fan, W.1    Huang, Y.2    Yu, P.3
  • 10
    • 49749096940 scopus 로고    scopus 로고
    • W. Fan, Y. Huang, H. Wang, & P. Yu, Active mining of data streams, Prof. of SDM 2004.
    • W. Fan, Y. Huang, H. Wang, & P. Yu, Active mining of data streams, Prof. of SDM 2004.
  • 11
    • 0028424239 scopus 로고
    • Improving Generalization with Active Learning
    • D. Cohn, L. Atlas, R. Ladner, Improving Generalization with Active Learning, Machine Learning 15(2), 1994.
    • (1994) Machine Learning , vol.15 , Issue.2
    • Cohn, D.1    Atlas, L.2    Ladner, R.3
  • 14
    • 33749263388 scopus 로고    scopus 로고
    • Batch mode active learning and its application to medical image classification
    • S. Hoi, R. Jin, J. Zhu, & M. Lyu, Batch mode active learning and its application to medical image classification, Proc. of ICML, 2006.
    • (2006) Proc. of ICML
    • Hoi, S.1    Jin, R.2    Zhu, J.3    Lyu, M.4
  • 15
    • 0030365938 scopus 로고    scopus 로고
    • Error correlation and error reduction in ensemble classifier
    • K. Tumer & J. Ghosh, Error correlation and error reduction in ensemble classifier, Connection Science, 8(3-4), 1996.
    • (1996) Connection Science , vol.8 , Issue.3-4
    • Tumer, K.1    Ghosh, J.2
  • 19
    • 49749087351 scopus 로고    scopus 로고
    • J. Quinlan, C4.5: Programs for Machine learning, M. Kaufmann, 1993.
    • J. Quinlan, C4.5: Programs for Machine learning, M. Kaufmann, 1993.
  • 20
    • 19544372918 scopus 로고    scopus 로고
    • Class Noise vs. Attribute Noise: A Quantitative study of their impacts
    • Zhu X., & Wu X., Class Noise vs. Attribute Noise: A Quantitative study of their impacts, Artificial Intelligence Review, 22, 2004.
    • (2004) Artificial Intelligence Review , vol.22
    • Zhu, X.1    Wu, X.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.