메뉴 건너뛰기




Volumn 243, Issue 1, 2015, Pages 177-189

Adapting a classification rule to local and global shift when only unlabelled data are available

Author keywords

Concept drift; Dataset shift; Global drift; Local drift; Verification latency

Indexed keywords

FORECASTING; LARGE DATASET; MIXTURES; POPULATION STATISTICS; PREDICTIVE ANALYTICS;

EID: 84921438319     PISSN: 03772217     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.ejor.2014.11.022     Document Type: Article
Times cited : (19)

References (48)
  • 1
    • 80051665683 scopus 로고    scopus 로고
    • Class and subclass probability re-estimation to adapt classifiers in the presence of concept drift
    • Alaiz-Rodríguez R., Guerrero-Curieses A., and Cid-Sueiro J. Class and subclass probability re-estimation to adapt classifiers in the presence of concept drift Neurocomputing 74 2011 2614 2623
    • (2011) Neurocomputing , vol.74 , pp. 2614-2623
    • Alaiz-Rodríguez, R.1    Guerrero-Curieses, A.2    Cid-Sueiro, J.3
  • 5
    • 0035989821 scopus 로고    scopus 로고
    • A generalized discriminant rule when training population and test population differ on their discriptive parameters
    • Biernacki C., Beninel F., and Bretagnolle V. A generalized discriminant rule when training population and test population differ on their discriptive parameters Biometrics 58 2002 387 397
    • (2002) Biometrics , vol.58 , pp. 387-397
    • Biernacki, C.1    Beninel, F.2    Bretagnolle, V.3
  • 6
    • 84893146364 scopus 로고    scopus 로고
    • Simultaneous t-model-based clustering for data differing over time period: Application for understanding companies financial health
    • Biernacki C., and Lourme A. Simultaneous t-model-based clustering for data differing over time period: Application for understanding companies financial health Case Studies in Business, Industry and Government Statistics 4 2 2011 73 82
    • (2011) Case Studies in Business, Industry and Government Statistics , vol.4 , Issue.2 , pp. 73-82
    • Biernacki, C.1    Lourme, A.2
  • 9
    • 77957908636 scopus 로고    scopus 로고
    • Adaptive linear models for regression: Improving prediction when population has changed
    • Bouveyron C., and Jacques J. Adaptive linear models for regression: Improving prediction when population has changed Pattern Recognition Letters 31 14 2010 2237 2247
    • (2010) Pattern Recognition Letters , vol.31 , Issue.14 , pp. 2237-2247
    • Bouveyron, C.1    Jacques, J.2
  • 10
    • 84902687136 scopus 로고    scopus 로고
    • Adaptive mixtures of regression: Improving predictive inference when population has changed
    • Bouveyron C., and Jacques J. Adaptive mixtures of regression: Improving predictive inference when population has changed Communications in Statistics: Simulation and Computation 43 10 2014 2570 2592
    • (2014) Communications in Statistics: Simulation and Computation , vol.43 , Issue.10 , pp. 2570-2592
    • Bouveyron, C.1    Jacques, J.2
  • 11
    • 58549104329 scopus 로고    scopus 로고
    • A framework for monitoring classifiers' performance: When and why failure occurs?
    • Cieslak D.A., and Chawla N.V. A framework for monitoring classifiers' performance: When and why failure occurs? Knowledge Information Systems 18 1 2008 83 108
    • (2008) Knowledge Information Systems , vol.18 , Issue.1 , pp. 83-108
    • Cieslak, D.A.1    Chawla, N.V.2
  • 14
    • 84876730536 scopus 로고    scopus 로고
    • Fidos: A generalized Fisher based feature extraction method for domain shift
    • Dinh C.V., Duin R.P., Piqueras-Salazar I., and Loog M. Fidos: A generalized Fisher based feature extraction method for domain shift Pattern Recognition 46 9 2013 2510 2518
    • (2013) Pattern Recognition , vol.46 , Issue.9 , pp. 2510-2518
    • Dinh, C.V.1    Duin, R.P.2    Piqueras-Salazar, I.3    Loog, M.4
  • 15
    • 84865066024 scopus 로고    scopus 로고
    • Transductive learning algorithms for nonstationary environments
    • Institute of Electrical and Electronics Engineers (IEEE)
    • Ditzler G., Rosen G., and Polikar R. Transductive learning algorithms for nonstationary environments International joint conference on neural networks 2012 Institute of Electrical and Electronics Engineers (IEEE) 945 952
    • (2012) International Joint Conference on Neural Networks , pp. 945-952
    • Ditzler, G.1    Rosen, G.2    Polikar, R.3
  • 16
    • 33750352833 scopus 로고    scopus 로고
    • Tackling concept drift by temporal inductive transfer
    • ACM Press
    • Forman G. Tackling concept drift by temporal inductive transfer Proceedings of the ACM SIGIR conference 2006 ACM Press 252 259
    • (2006) Proceedings of the ACM SIGIR Conference , pp. 252-259
    • Forman, G.1
  • 18
    • 33745886270 scopus 로고    scopus 로고
    • Classifier technology and the illusion of progress
    • Hand D.J. Classifier technology and the illusion of progress Statistical Science 21 2006 1 14
    • (2006) Statistical Science , vol.21 , pp. 1-14
    • Hand, D.J.1
  • 19
    • 69549133517 scopus 로고    scopus 로고
    • Measuring classifier performance: A coherent alternative to the area under the ROC curve
    • Hand D.J. Measuring classifier performance: a coherent alternative to the area under the ROC curve Machine Learning 77 1 2009 103 123
    • (2009) Machine Learning , vol.77 , Issue.1 , pp. 103-123
    • Hand, D.J.1
  • 20
    • 0037598692 scopus 로고    scopus 로고
    • Local versus global models for classification problems: Fitting models where it matters
    • Hand D.J., and Vinciotti V. Local versus global models for classification problems: Fitting models where it matters The American Statistician 57 2 2003 124 131
    • (2003) The American Statistician , vol.57 , Issue.2 , pp. 124-131
    • Hand, D.J.1    Vinciotti, V.2
  • 21
    • 84865411615 scopus 로고    scopus 로고
    • Drift mining in data: A framework for addressing drift in classification
    • Hofer V., and Krempl G. Drift mining in data: A framework for addressing drift in classification Computational Statistics and Data Analysis 57 1 2013 377 391
    • (2013) Computational Statistics and Data Analysis , vol.57 , Issue.1 , pp. 377-391
    • Hofer, V.1    Krempl, G.2
  • 23
    • 77951140579 scopus 로고    scopus 로고
    • Extension of model-based classification for binary data when training and test population differ
    • Jacques J., and Biernacki C. Extension of model-based classification for binary data when training and test population differ Journal of Applied Statistics 37 5 2008 749 766
    • (2008) Journal of Applied Statistics , vol.37 , Issue.5 , pp. 749-766
    • Jacques, J.1    Biernacki, C.2
  • 27
    • 80455127215 scopus 로고    scopus 로고
    • The algorithm APT to classify in concurrence of latency and drift
    • J. Gama, E. Bradley, J. Hollmén, Lecture Notes in Computer Science Springer Berlin/Heidelberg
    • Krempl G. The algorithm APT to classify in concurrence of latency and drift J. Gama, E. Bradley, J. Hollmén, Advances in intelligent data analysis Lecture Notes in Computer Science Vol. 7014 2011 Springer Berlin/Heidelberg 222 233
    • (2011) Advances in Intelligent Data Analysis , vol.7014 , pp. 222-233
    • Krempl, G.1
  • 30
    • 0034843832 scopus 로고    scopus 로고
    • The earth mover's distance is the Mallow distance: Some insights from statistics
    • Institute of Electrical and Electronics Engineers (IEEE)
    • Levina E., and Bickel P. The earth mover's distance is the Mallow distance: Some insights from statistics Proceedings of the eighth international conference on computer vision, Vol. 2 2001 Institute of Electrical and Electronics Engineers (IEEE) 251 256
    • (2001) Proceedings of the Eighth International Conference on Computer Vision, Vol. 2 , pp. 251-256
    • Levina, E.1    Bickel, P.2
  • 32
    • 84874217879 scopus 로고    scopus 로고
    • Simultaneous Gaussian models-based clustering for samples of multiple origins
    • Lourme A., and Biernacki C. Simultaneous Gaussian models-based clustering for samples of multiple origins Computational Statistics 28 1 2013 371 391
    • (2013) Computational Statistics , vol.28 , Issue.1 , pp. 371-391
    • Lourme, A.1    Biernacki, C.2
  • 33
    • 0001616689 scopus 로고
    • A note on asymptotic joint normality
    • Mallow C.L. A note on asymptotic joint normality Annals of Mathematical Statistics 43 2 1972 508 515
    • (1972) Annals of Mathematical Statistics , vol.43 , Issue.2 , pp. 508-515
    • Mallow, C.L.1
  • 34
    • 78049404804 scopus 로고    scopus 로고
    • The impact of latency on online classification learning with concept drift
    • Y. Bi, M.-A. Williams, Lecture Notes in Computer Science Springer
    • Marrs G., Hickey R., and Black M. The impact of latency on online classification learning with concept drift Y. Bi, M.-A. Williams, Knowledge science, engineering and management Lecture Notes in Computer Science Vol. 6291 2010 Springer 459 469
    • (2010) Knowledge Science, Engineering and Management , vol.6291 , pp. 459-469
    • Marrs, G.1    Hickey, R.2    Black, M.3
  • 38
    • 0036134369 scopus 로고    scopus 로고
    • Adjusting the outputs of a classifier to new a priori probabilities: A simple procedure
    • Saerens M., Latinne P., and Decaestecker C. Adjusting the outputs of a classifier to new a priori probabilities: A simple procedure Neural Computing 14 2001 21 41
    • (2001) Neural Computing , vol.14 , pp. 21-41
    • Saerens, M.1    Latinne, P.2    Decaestecker, C.3
  • 40
    • 0019531996 scopus 로고
    • Direct solutions to some multidimensional transportation problems
    • Scobey P., and Kabe D. Direct solutions to some multidimensional transportation problems Transportation Science 15 1981 1 15
    • (1981) Transportation Science , vol.15 , pp. 1-15
    • Scobey, P.1    Kabe, D.2
  • 41
    • 0037527188 scopus 로고    scopus 로고
    • Improving predictive inference under covariate shift by weighting the log-likelihood function
    • Shimodaira H. Improving predictive inference under covariate shift by weighting the log-likelihood function Journal of Statistical Planning and Inference 90 2000 227 244
    • (2000) Journal of Statistical Planning and Inference , vol.90 , pp. 227-244
    • Shimodaira, H.1
  • 44
    • 78049527112 scopus 로고    scopus 로고
    • Dynamic financial distress prediction using instance selection for the disposal of concept drift
    • Sun J., and Li H. Dynamic financial distress prediction using instance selection for the disposal of concept drift Expert Systems with Applications 38 2011 2566 2576
    • (2011) Expert Systems with Applications , vol.38 , pp. 2566-2576
    • Sun, J.1    Li, H.2
  • 46
    • 77951203581 scopus 로고    scopus 로고
    • Semi-supervised speaker identification under covariate shift
    • Yamada M., Sugiyama M., and Matsui T. Semi-supervised speaker identification under covariate shift Signal Processing 90 2010 2353 2361
    • (2010) Signal Processing , vol.90 , pp. 2353-2361
    • Yamada, M.1    Sugiyama, M.2    Matsui, T.3
  • 47
    • 34447107877 scopus 로고    scopus 로고
    • Adaptive credit scoring with kernel learning methods
    • Yang Y. Adaptive credit scoring with kernel learning methods European Journal of Operational Research 183 3 2007 1521 1536
    • (2007) European Journal of Operational Research , vol.183 , Issue.3 , pp. 1521-1536
    • Yang, Y.1
  • 48
    • 79960376903 scopus 로고    scopus 로고
    • Transfer estimation of evolving class priors in data stream classification
    • Zhang Z., and Zhou J. Transfer estimation of evolving class priors in data stream classification Pattern Recognition 43 2010 3151 3161
    • (2010) Pattern Recognition , vol.43 , pp. 3151-3161
    • Zhang, Z.1    Zhou, J.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.