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Volumn , Issue , 2010, Pages 929-934

Addressing concept-evolution in concept-drifting data streams

Author keywords

Concept evolution; Data stream; Novel class; Outlier

Indexed keywords

ADAPTIVE THRESHOLDS; CONCEPT-EVOLUTION; CONTINUOUS PROCESS; DATA STREAM; DETECTION TECHNIQUE; GINI COEFFICIENTS; HISTORICAL DATA; NOVEL CLASS; OUTLIER; OUTLIER DETECTION; PROBABILISTIC APPROACHES; TEMPORAL BEHAVIOR; TEXT DATA;

EID: 79951742062     PISSN: 15504786     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICDM.2010.160     Document Type: Conference Paper
Times cited : (106)

References (11)
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    • (2009) IEEE TKDE , vol.21 , Issue.5 , pp. 624-637
    • Hashemi, S.1    Yang, Y.2    Mirzamomen, Z.3    Kangavari, M.4
  • 4
    • 0035789299 scopus 로고    scopus 로고
    • Mining time-changing data streams
    • G. Hulten, L. Spencer, and P. Domingos. Mining time-changing data streams. In SIGKDD, pages 97-106, 2001.
    • (2001) SIGKDD , pp. 97-106
    • Hulten, G.1    Spencer, L.2    Domingos, P.3
  • 6
    • 70349952316 scopus 로고    scopus 로고
    • Integrating novel class detection with classification for concept-drifting data streams
    • M. M. Masud, J. Gao, L. Khan, J. Han, and B. M. Thuraisingham. Integrating novel class detection with classification for concept-drifting data streams. In ECML PKDD, volume 2, pages 79-94, 2009.
    • (2009) ECML PKDD , vol.2 , pp. 79-94
    • Masud, M.M.1    Gao, J.2    Khan, L.3    Han, J.4    Thuraisingham, B.M.5
  • 7
    • 56749157104 scopus 로고    scopus 로고
    • Cluster-based novel concept detection in data streams applied to intrusion detection in computer networks
    • E. J. Spinosa, A. P. de Leon F. de Carvalho, and J. Gama. Cluster-based novel concept detection in data streams applied to intrusion detection in computer networks. In ACM SAC, pages 976-980, 2008.
    • (2008) ACM SAC , pp. 976-980
    • Spinosa, E.J.1    De Leon, A.P.2    De Carvalho, F.3    Gama, J.4
  • 9
    • 77952415079 scopus 로고    scopus 로고
    • Mining concept-drifting data streams using ensemble classifiers
    • H. Wang, W. Fan, P. S. Yu, and J. Han. Mining concept-drifting data streams using ensemble classifiers. In SIGKDD, pages 226-235, 2003.
    • (2003) SIGKDD , pp. 226-235
    • Wang, H.1    Fan, W.2    Yu, P.S.3    Han, J.4
  • 11
    • 77951189369 scopus 로고    scopus 로고
    • Mining data streams with labeled and unlabeled training examples
    • P. Zhang, X. Zhu, and L. Guo. Mining data streams with labeled and unlabeled training examples. In ICDM, pages 627-636, 2009.
    • (2009) ICDM , pp. 627-636
    • Zhang, P.1    Zhu, X.2    Guo, L.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.