메뉴 건너뛰기




Volumn , Issue , 2011, Pages 241-250

Heuristic Updatable Weighted Random Subspaces for non-stationary environments

Author keywords

Concept drift; Hellinger distance; Non stationary learning; Random subspaces

Indexed keywords

CLASS LABELS; CONCEPT DRIFTS; DATA SETS; GENERATING FUNCTIONS; HELLINGER DISTANCE; NON-STATIONARY ENVIRONMENT; NONSTATIONARY; RANDOM SUBSPACE METHOD; RANDOM SUBSPACES; REAL-WORLD APPLICATION; TWO-STATE; WINDOW SIZE;

EID: 84857174050     PISSN: 15504786     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICDM.2011.75     Document Type: Conference Paper
Times cited : (42)

References (33)
  • 3
    • 70350700681 scopus 로고    scopus 로고
    • New ensemble methods for evolving data streams
    • ACM
    • A. Bifet, G. Holmes, B. Pfahringer, R. Kirkby, and R. Gavaldà. New ensemble methods for evolving data streams. In KDD, pages 139-148. ACM, 2009.
    • (2009) KDD , pp. 139-148
    • Bifet, A.1    Holmes, G.2    Pfahringer, B.3    Kirkby, R.4    Gavaldà, R.5
  • 4
    • 0030211964 scopus 로고    scopus 로고
    • Bagging predictors
    • L. Breiman. Bagging predictors. Machine Learning, 24(2):123-140, 1996.
    • (1996) Machine Learning , vol.24 , Issue.2 , pp. 123-140
    • Breiman, L.1
  • 5
    • 0002980086 scopus 로고
    • Learning classification trees
    • W. Buntine. Learning classification trees. Statistics and Computing, 2(2):63-73, 1992.
    • (1992) Statistics and Computing , vol.2 , Issue.2 , pp. 63-73
    • Buntine, W.1
  • 6
    • 58549104329 scopus 로고    scopus 로고
    • A framework for monitoring classifiers' performance: When and why failure occurs?
    • D. Cieslak and N. Chawla. A framework for monitoring classifiers' performance: when and why failure occurs? KAIS, 18(1):83-108, 2009.
    • (2009) KAIS , vol.18 , Issue.1 , pp. 83-108
    • Cieslak, D.1    Chawla, N.2
  • 7
    • 80053403826 scopus 로고    scopus 로고
    • Ensemble methods in machine learning
    • T. Dietterich. Ensemble methods in machine learning. MCS, pages 1-15, 2000.
    • (2000) MCS , pp. 1-15
    • Dietterich, T.1
  • 8
    • 0034592938 scopus 로고    scopus 로고
    • Mining high-speed data streams
    • ACM
    • P. Domingos and G. Hulten. Mining high-speed data streams. In KDD, pages 71-80. ACM, 2000.
    • (2000) KDD , pp. 71-80
    • Domingos, P.1    Hulten, G.2
  • 9
    • 84983110889 scopus 로고
    • A decision-theoretic generalization of on-line learning and an application to boosting
    • Y. Freund and R. Schapire. A decision-theoretic generalization of on-line learning and an application to boosting. COLT, pages 23-37, 1995.
    • (1995) COLT , pp. 23-37
    • Freund, Y.1    Schapire, R.2
  • 11
    • 40649128119 scopus 로고
    • Nonlinear neural networks: Principles, mechanisms, and architectures
    • S. Grossberg. Nonlinear neural networks: Principles, mechanisms, and architectures. Neural Networks, 1(1):17-61, 1988.
    • (1988) Neural Networks , vol.1 , Issue.1 , pp. 17-61
    • Grossberg, S.1
  • 15
    • 84941476533 scopus 로고
    • Neue begründung der theorie quadratischer formen von unendlichvielen veränderlichen (german)
    • E. Hellinger. Neue begründung der theorie quadratischer formen von unendlichvielen veränderlichen (german). Journal fur die Reine und Angewandte Mathematik, 136:210-271, 1909.
    • (1909) Journal fur Die Reine und Angewandte Mathematik , vol.136 , pp. 210-271
    • Hellinger, E.1
  • 16
    • 0032139235 scopus 로고    scopus 로고
    • The random subspace method for constructing decision forests
    • T. Ho. The random subspace method for constructing decision forests. PAMI, 20(8):832-844, 1998.
    • (1998) PAMI , vol.20 , Issue.8 , pp. 832-844
    • Ho, T.1
  • 17
    • 84947403595 scopus 로고
    • Probability inequalities for sums of bounded random variables
    • W. Hoeffding. Probability inequalities for sums of bounded random variables. JASA, 58(301):13-30, 1963.
    • (1963) JASA , vol.58 , Issue.301 , pp. 13-30
    • Hoeffding, W.1
  • 18
    • 51149116522 scopus 로고    scopus 로고
    • Use of hoeffding trees in concept based data stream mining
    • Dec
    • S. Hoeglinger and R. Pears. Use of hoeffding trees in concept based data stream mining. In ICIAFS, pages 57 -62, Dec 2007.
    • (2007) ICIAFS , pp. 57-62
    • Hoeglinger, S.1    Pears, R.2
  • 19
    • 0035789299 scopus 로고    scopus 로고
    • Mining timechanging data streams
    • ACM
    • G. Hulten, L. Spencer, and P. Domingos. Mining timechanging data streams. In KDD, pages 97-106. ACM, 2001.
    • (2001) KDD , pp. 97-106
    • Hulten, G.1    Spencer, L.2    Domingos, P.3
  • 20
    • 65249157560 scopus 로고
    • The divergence and bhattacharyya distance measures in signal selection
    • T. Kailath. The divergence and bhattacharyya distance measures in signal selection. IEEE Transactions on Communication Technology, 15(1):52-60, 1967.
    • (1967) IEEE Transactions on Communication Technology , vol.15 , Issue.1 , pp. 52-60
    • Kailath, T.1
  • 21
    • 37849024302 scopus 로고    scopus 로고
    • Dynamic feature space and incremental feature selection for the classification of textual data streams
    • I. Katakis, G. Tsoumakas, and I. Vlahavas. Dynamic feature space and incremental feature selection for the classification of textual data streams. Knowledge Discovery from Data Streams, pages 107-116, 2006.
    • (2006) Knowledge Discovery from Data Streams , pp. 107-116
    • Katakis, I.1    Tsoumakas, G.2    Vlahavas, I.3
  • 22
    • 84857188677 scopus 로고    scopus 로고
    • An Ensemble of Classifiers for coping with Recurring Contexts in Data Streams
    • Patras, Greece
    • I. Katakis, G. Tsoumakas, and I. Vlahavas. An Ensemble of Classifiers for coping with Recurring Contexts in Data Streams. In ECAI, pages 377-382, Patras, Greece, 2008.
    • (2008) ECAI , pp. 377-382
    • Katakis, I.1    Tsoumakas, G.2    Vlahavas, I.3
  • 23
    • 77950689531 scopus 로고    scopus 로고
    • Tracking recurring contexts using ensemble classifiers: An application to email filtering
    • I. Katakis, G. Tsoumakas, and I. Vlahavas. Tracking recurring contexts using ensemble classifiers: an application to email filtering. KAIS, 22(3):371-391, 2010.
    • (2010) KAIS , vol.22 , Issue.3 , pp. 371-391
    • Katakis, I.1    Tsoumakas, G.2    Vlahavas, I.3
  • 24
    • 0141804082 scopus 로고    scopus 로고
    • Detecting concept drift with support vector machines
    • Citeseer
    • R. Klinkenberg and T. Joachims. Detecting concept drift with support vector machines. In ICML. Citeseer, 2000.
    • (2000) ICML
    • Klinkenberg, R.1    Joachims, T.2
  • 25
    • 0342748795 scopus 로고    scopus 로고
    • Option decision trees with majority votes
    • R. Kohavi and C. Kunz. Option decision trees with majority votes. In ICML, pages 161-169, 1997.
    • (1997) ICML , pp. 161-169
    • Kohavi, R.1    Kunz, C.2
  • 26
    • 78149292125 scopus 로고    scopus 로고
    • Dynamic weighted majority: A new ensemble method for tracking concept drift
    • IEEE
    • J. Kolter and M. Maloof. Dynamic weighted majority: A new ensemble method for tracking concept drift. In ICDM, pages 123-130. IEEE, 2003.
    • (2003) ICDM , pp. 123-130
    • Kolter, J.1    Maloof, M.2
  • 27
    • 77957058214 scopus 로고    scopus 로고
    • Adaptive methods for classification in arbitrarily imbalanced and drifting data streams
    • Lecture Notes in Computer Science. Springer Berlin / Heidelberg
    • R. Lichtenwalter and N. V. Chawla. Adaptive methods for classification in arbitrarily imbalanced and drifting data streams. In New Frontiers in Applied Data Mining, volume 5669 of Lecture Notes in Computer Science, pages 53-75. Springer Berlin / Heidelberg, 2010.
    • (2010) New Frontiers in Applied Data Mining , vol.5669 , pp. 53-75
    • Lichtenwalter, R.1    Chawla, N.V.2
  • 28
    • 0001923944 scopus 로고
    • Hoeffding races: Accelerating model selection search for classification and function approximation
    • April
    • A. M. Oded Maron. Hoeffding races: Accelerating model selection search for classification and function approximation. In NIPS, volume 6, pages 59-66, April 1994.
    • (1994) NIPS , vol.6 , pp. 59-66
    • Oded Maron, A.M.1
  • 29
    • 38349133427 scopus 로고    scopus 로고
    • New options for hoeffding trees
    • B. Pfahringer, G. Holmes, and R. Kirkby. New options for hoeffding trees. AAI, pages 90-99, 2007.
    • (2007) AAI , pp. 90-99
    • Pfahringer, B.1    Holmes, G.2    Kirkby, R.3
  • 30
    • 0042346121 scopus 로고    scopus 로고
    • Tree induction for probabilitybased ranking
    • September
    • F. Provost and P. Domingos. Tree induction for probabilitybased ranking. Machine Learning, 52(3):199-215, September 2003.
    • (2003) Machine Learning , vol.52 , Issue.3 , pp. 199-215
    • Provost, F.1    Domingos, P.2
  • 32
    • 0002618996 scopus 로고
    • A review of canonical coordinates and an alternative to correspondence analysis using hellinger distance
    • C. Rao. A review of canonical coordinates and an alternative to correspondence analysis using hellinger distance. Questiio (Quaderns d'Estadistica i Investigacio Operativa), 19:23-63, 1995.
    • (1995) Questiio (Quaderns D'Estadistica i Investigacio Operativa) , vol.19 , pp. 23-63
    • Rao, C.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.