메뉴 건너뛰기




Volumn , Issue , 2010, Pages 32-37

Handling concept drift in a text data stream constrained by high labelling cost

Author keywords

[No Author keywords available]

Indexed keywords

ACTIVE LEARNING; CONCEPT DRIFTS; HIGH COSTS; REAL-WORLD; TEST INSTANCES; TEXT DATA; TEXT FILTERING;

EID: 77957885062     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper
Times cited : (49)

References (21)
  • 1
    • 0034428159 scopus 로고    scopus 로고
    • Neural network ensemble for financial trend prediction
    • Abdullah, M., and Ganapathy, V. 2000. Neural network ensemble for financial trend prediction. TENCON 2000. Proceedings 3.
    • (2000) TENCON 2000. Proceedings , pp. 3
    • Abdullah, M.1    Ganapathy, V.2
  • 2
    • 0028424239 scopus 로고
    • Improving generalization with active learning
    • Cohn, D.; Atlas, L.; and Ladner, R. 1994. Improving generalization with active learning. Machine Learning 15(2):201-221.
    • (1994) Machine Learning , vol.15 , Issue.2 , pp. 201-221
    • Cohn, D.1    Atlas, L.2    Ladner, R.3
  • 5
    • 77957885321 scopus 로고    scopus 로고
    • A general framework for mining concept-drifting data streams with skewed distributions
    • Gao, J.; Fan, W.; Han, J.; and Yu, P. S. 2007. A general framework for mining concept-drifting data streams with skewed distributions. In Proc. SDM'07.
    • (2007) Proc. SDM'07
    • Gao, J.1    Fan, W.2    Han, J.3    Yu, P.S.4
  • 6
    • 41649099657 scopus 로고    scopus 로고
    • An active learning system for mining time-changing data streams
    • Huang, S., and Dong, Y 2007. An active learning system for mining time-changing data streams, Intell. Data Anal. 11(4):401-419.
    • (2007) Intell. Data Anal. , vol.11 , Issue.4 , pp. 401-419
    • Huang, S.1    Dong, Y.2
  • 7
    • 84957069814 scopus 로고    scopus 로고
    • Text categorization with support vector machines: Learning with many relevant
    • Joachims, T.; Nedellec, C.; and Rouveirol, C. 1998. Text categorization with support vector machines: learning with many relevant. In Machine Learning: ECML-98, 137-142.
    • (1998) Machine Learning: ECML-98 , pp. 137-142
    • Joachims, T.1    Nedellec, C.2    Rouveirol, C.3
  • 9
    • 0141804082 scopus 로고    scopus 로고
    • Detecting concept drift with support vector machines
    • Klinkenberg, R., and Joachims, T. 2000. Detecting concept drift with support vector machines. Proc. 7th ICML 11.
    • (2000) Proc. 7th ICML , pp. 11
    • Klinkenberg, R.1    Joachims, T.2
  • 10
    • 14644441904 scopus 로고    scopus 로고
    • Learning drifting concepts with partial user feedback
    • Klinkenberg, R. 1999. Learning drifting concepts with partial user feedback. Beitrge zum Treffen der GI-Fachgruppe 1(3):44-53.
    • (1999) Beitrge Zum Treffen der GI-Fachgruppe , vol.1 , Issue.3 , pp. 44-53
    • Klinkenberg, R.1
  • 11
    • 78149292125 scopus 로고    scopus 로고
    • Dynamic weighted majority: A new ensemble method for tracking concept drift
    • Kolter, J., and Maloof, M. 2003. Dynamic weighted majority: a new ensemble method for tracking concept drift. In 3rd IEEE ICDM, 123-130.
    • (2003) 3rd IEEE ICDM , pp. 123-130
    • Kolter, J.1    Maloof, M.2
  • 12
    • 0024896089 scopus 로고
    • Floating approximation in time-varying knowledge bases
    • Kubat, M. 1989. Floating approximation in time-varying knowledge bases. Pattern recognition letters 10:223-227.
    • (1989) Pattern Recognition Letters , vol.10 , pp. 223-227
    • Kubat, M.1
  • 16
    • 0010012318 scopus 로고
    • Incremental learning from noisy data
    • Schlimmer, J. C., and Granger, R. H. 1986. Incremental learning from noisy data. Machine Learning 1:317-354.
    • (1986) Machine Learning , vol.1 , pp. 317-354
    • Schlimmer, J.C.1    Granger, R.H.2
  • 17
    • 0042868698 scopus 로고    scopus 로고
    • Support vector machine active learning with applications to text classification
    • Tong, S., and Koller, D. 2002. Support vector machine active learning with applications to text classification. The Journal of Machine Learning Research 2:45-66.
    • (2002) The Journal of Machine Learning Research , vol.2 , pp. 45-66
    • Tong, S.1    Koller, D.2
  • 20
    • 35248825961 scopus 로고    scopus 로고
    • Representative sampling for text classification using support vector machines
    • In Advances in Information Retrieval
    • Xu, Z.; Yu, K.; Tresp, V.; Xu, X.; and Wang, J. 2003. Representative sampling for text classification using support vector machines. In Advances in Information Retrieval, volume 2633 of LNCS.
    • (2003) LNCS , vol.2633
    • Xu, Z.1    Yu, K.2    Tresp, V.3    Xu, X.4    Wang, J.5


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.