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Volumn 6913 LNAI, Issue PART 3, 2011, Pages 597-612

Active learning with evolving streaming data

Author keywords

[No Author keywords available]

Indexed keywords

ACTIVE LEARNING; CONCEPT DRIFTS; DATA DISTRIBUTION; DECISION BOUNDARY; DYNAMIC ALLOCATIONS; SEARCH SPACES; STREAMING DATA;

EID: 80052421217     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-642-23808-6_39     Document Type: Conference Paper
Times cited : (61)

References (24)
  • 1
    • 36948999941 scopus 로고    scopus 로고
    • University of California, Irvine, School of Information and Computer Sciences
    • Asuncion, A., Newman, D.: UCI Machine Learning Repository. University of California, Irvine, School of Information and Computer Sciences (2007)
    • (2007) UCI Machine Learning Repository
    • Asuncion, A.1    Newman, D.2
  • 4
    • 79551508606 scopus 로고    scopus 로고
    • Mining concept-drifting data streams containing labeled and unlabeled instances
    • García-Pedrajas, N., Herrera, F., Fyfe, C., Benítez, J.M., Ali, M. (eds.) IEA/AIE 2010. Springer, Heidelberg
    • Borchani, H., Larrañaga, P., Bielza, C.: Mining concept-drifting data streams containing labeled and unlabeled instances. In: García-Pedrajas, N., Herrera, F., Fyfe, C., Benítez, J.M., Ali, M. (eds.) IEA/AIE 2010. LNCS, vol. 6096, pp. 531-540. Springer, Heidelberg (2010)
    • (2010) LNCS , vol.6096 , pp. 531-540
    • Borchani, H.1    Larrañaga, P.2    Bielza, C.3
  • 5
    • 33745738567 scopus 로고    scopus 로고
    • Worst-case analysis of selective sampling for linear classification
    • Cesa-Bianchi, N., Gentile, C., Zaniboni, L.: Worst-case analysis of selective sampling for linear classification. J. Mach. Learn. Res. 7, 1205-1230 (2006)
    • (2006) J. Mach. Learn. Res. , vol.7 , pp. 1205-1230
    • Cesa-Bianchi, N.1    Gentile, C.2    Zaniboni, L.3
  • 6
    • 0028424239 scopus 로고
    • Improving generalization with active learning
    • Cohn, D., Atlas, l., Ladner, R.: Improving generalization with active learning. Machine Learning 15, 201-221 (1994)
    • (1994) Machine Learning , vol.15 , pp. 201-221
    • Cohn, D.1    Atlas, L.2    Ladner, R.3
  • 7
    • 2942536418 scopus 로고    scopus 로고
    • Active mining of data streams
    • Fan, W., Huang, Y., Wang, H., Yu, P.: Active mining of data streams. In: SDM 2004, pp. 457-461 (2004)
    • (2004) SDM 2004 , pp. 457-461
    • Fan, W.1    Huang, Y.2    Wang, H.3    Yu, P.4
  • 8
    • 33749618778 scopus 로고    scopus 로고
    • Learning with drift detection
    • Bazzan, A.L.C., Labidi, S. (eds.) SBIA 2004. Springer, Heidelberg
    • Gama, J., Medas, P., Castillo, G., Rodrigues, P.: Learning with drift detection. In: Bazzan, A.L.C., Labidi, S. (eds.) SBIA 2004. LNCS (LNAI), vol. 3171, pp. 286-295. Springer, Heidelberg (2004)
    • (2004) LNCS (LNAI) , vol.3171 , pp. 286-295
    • Gama, J.1    Medas, P.2    Castillo, G.3    Rodrigues, P.4
  • 10
    • 0030707345 scopus 로고    scopus 로고
    • Some label efficient learning results
    • Helmbold, D., Panizza, S.: Some label efficient learning results. In: COLT 1997, pp. 218-230 (1997)
    • (1997) COLT 1997 , pp. 218-230
    • Helmbold, D.1    Panizza, S.2
  • 11
    • 41649099657 scopus 로고    scopus 로고
    • An active learning system for mining time-changing data streams
    • Huang, S., Dong, Y.: An active learning system for mining time-changing data streams. Intelligent Data Analysis 11, 401-419 (2007)
    • (2007) Intelligent Data Analysis , vol.11 , pp. 401-419
    • Huang, S.1    Dong, Y.2
  • 14
    • 85013879626 scopus 로고
    • A sequential algorithm for training text classifiers
    • Lewis, D., Gale, W.: A sequential algorithm for training text classifiers. In: ACM SIGIR, pp. 3-12 (1994)
    • (1994) ACM SIGIR , pp. 3-12
    • Lewis, D.1    Gale, W.2
  • 15
    • 84876811202 scopus 로고    scopus 로고
    • Rcv1: A new benchmark collection for text categorization research
    • Lewis, D., Yang, Y., Rose, T., Li, F.: Rcv1: A new benchmark collection for text categorization research. J. Mach. Learn. Res. 5, 361-397 (2004)
    • (2004) J. Mach. Learn. Res. , vol.5 , pp. 361-397
    • Lewis, D.1    Yang, Y.2    Rose, T.3    Li, F.4
  • 16
    • 77957885062 scopus 로고    scopus 로고
    • Handling concept drift in a text data stream constrained by high labelling cost
    • AAAI Press, Menlo Park
    • Lindstrom, P., Delany, S.J., MacNamee, B.: Handling concept drift in a text data stream constrained by high labelling cost. In: FLAIRS. AAAI Press, Menlo Park (2010)
    • (2010) FLAIRS
    • Lindstrom, P.1    Delany, S.J.2    MacNamee, B.3
  • 17
    • 79956336459 scopus 로고    scopus 로고
    • Classification and novel class detection in data streams with active mining
    • Zaki, M.J., Yu, J.X., Ravindran, B., Pudi, V. (eds.) PAKDD 2010. Springer, Heidelberg
    • Masud, M., Gao, J., Khan, L., Han, J., Thuraisingham, B.: Classification and novel class detection in data streams with active mining. In: Zaki, M.J., Yu, J.X., Ravindran, B., Pudi, V. (eds.) PAKDD 2010. LNCS, vol. 6119, pp. 311-324. Springer, Heidelberg (2010)
    • (2010) LNCS , vol.6119 , pp. 311-324
    • Masud, M.1    Gao, J.2    Khan, L.3    Han, J.4    Thuraisingham, B.5
  • 19
    • 84904806792 scopus 로고    scopus 로고
    • Online active learning methods for fast label-efficient spam filtering
    • Sculley, D.: Online active learning methods for fast label-efficient spam filtering. In: CEAS 2007 (2007)
    • (2007) CEAS 2007
    • Sculley, D.1
  • 20
    • 68949137209 scopus 로고    scopus 로고
    • Active learning literature survey
    • University of Wisconsin-Madison
    • Settles, B.: Active learning literature survey. Computer Sciences Technical Report 1648, University of Wisconsin-Madison (2009)
    • (2009) Computer Sciences Technical Report 1648
    • Settles, B.1
  • 21
    • 14644423267 scopus 로고    scopus 로고
    • Relevant data expansion for learning concept drift from sparsely labeled data
    • Widyantoro, D., Yen, J.: Relevant data expansion for learning concept drift from sparsely labeled data. IEEE Tr. on Know. and Data Eng. 17, 401-412 (2005)
    • (2005) IEEE Tr. on Know. and Data Eng. , vol.17 , pp. 401-412
    • Widyantoro, D.1    Yen, J.2
  • 22
    • 70349871421 scopus 로고    scopus 로고
    • Lacking labels in the stream: Classifying evolving stream data with few labels
    • Rauch, J., Raś, Z.W., Berka, P., Elomaa, T. (eds.) ISMIS 2009. Springer, Heidelberg
    • Woolam, C., Masud, M., Khan, L.: Lacking labels in the stream: Classifying evolving stream data with few labels. In: Rauch, J., Raś, Z.W., Berka, P., Elomaa, T. (eds.) ISMIS 2009. LNCS, vol. 5722, pp. 552-562. Springer, Heidelberg (2009)
    • (2009) LNCS , vol.5722 , pp. 552-562
    • Woolam, C.1    Masud, M.2    Khan, L.3
  • 23
    • 77951189369 scopus 로고    scopus 로고
    • Mining data streams with labeled and unlabeled training examples
    • Zhang, P., Zhu, X., Guo, L.: Mining data streams with labeled and unlabeled training examples. In: ICDM 2009, pp. 627-636 (2009)
    • (2009) ICDM 2009 , pp. 627-636
    • Zhang, P.1    Zhu, X.2    Guo, L.3
  • 24
    • 49749138225 scopus 로고    scopus 로고
    • Active learning from data streams
    • Zhu, X., Zhang, P., Lin, X., Shi, Y.: Active learning from data streams. In: ICDM 2007, pp. 757-762 (2007)
    • (2007) ICDM 2007 , pp. 757-762
    • Zhu, X.1    Zhang, P.2    Lin, X.3    Shi, Y.4


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.