메뉴 건너뛰기




Volumn 90, Issue 3, 2013, Pages 317-346

On evaluating stream learning algorithms

Author keywords

Concept drift; Data streams; Evaluation design; Prequential analysis

Indexed keywords

BAYES ERROR; BEST PRACTICES; CHANGE DETECTION; CHANGE DETECTION ALGORITHMS; CONCEPT DRIFTS; CONTINUOUS PROCESS; DATA STREAM; DECISION MODELS; ERROR ESTIMATORS; EVALUATION DESIGN; FADING FACTORS; FORGETTING MECHANISMS; HYPOTHESIS TESTING; MEMORYLESS; PERFORMANCE ASSESSMENT; PREQUENTIAL ANALYSIS; RESOURCE AWARE; SLIDING WINDOW; STREAMING APPLICATIONS;

EID: 84874677467     PISSN: 08856125     EISSN: 15730565     Source Type: Journal    
DOI: 10.1007/s10994-012-5320-9     Document Type: Article
Times cited : (484)

References (47)
  • 3
    • 67049100144 scopus 로고    scopus 로고
    • Paired learners for concept drift
    • IEEE Comput. Soc. Los Alamitos
    • Bach, S. H., & Maloof, M. A. (2008). Paired learners for concept drift. In ICDM (pp. 23-32). Los Alamitos: IEEE Comput. Soc.
    • (2008) ICDM , pp. 23-32
    • Bach, S.H.1    Maloof, M.A.2
  • 5
    • 70449100647 scopus 로고    scopus 로고
    • Learning from time-changing data with adaptive windowing
    • Minneapolis, USA SIAM Philadelphia
    • Bifet, A., & Gavaldà, R. (2007). Learning from time-changing data with adaptive windowing. In Proceedings SIAM international conference on data mining, Minneapolis, USA (pp. 443-448). Philadelphia: SIAM.
    • (2007) Proceedings SIAM International Conference on Data Mining , pp. 443-448
    • Bifet, A.1    Gavaldà, R.2
  • 7
    • 79956323714 scopus 로고    scopus 로고
    • Fast perceptron decision tree learning from evolving data streams
    • 14th Pacific-Asia conference 10.1007/978-3-642-13672-6-30
    • Bifet, A., Holmes, G., Pfahringer, B., & Frank, E. (2010b). Fast perceptron decision tree learning from evolving data streams. In Advances in knowledge discovery and data mining, 14th Pacific-Asia conference (pp. 299-310).
    • (2010) Advances in Knowledge Discovery and Data Mining , pp. 299-310
    • Bifet, A.1    Holmes, G.2    Pfahringer, B.3    Frank, E.4
  • 9
    • 33749322733 scopus 로고    scopus 로고
    • Catch the moment: Maintaining closed frequent itemsets over a data stream sliding window
    • 10.1007/s10115-006-0003-0
    • Chi, Y., Wang, H., Yu, P. S., & Muntz, R. R. (2006). Catch the moment: maintaining closed frequent itemsets over a data stream sliding window. Knowledge and Information Systems, 10(3), 265-294.
    • (2006) Knowledge and Information Systems , vol.10 , Issue.3 , pp. 265-294
    • Chi, Y.1    Wang, H.2    Yu, P.S.3    Muntz, R.R.4
  • 11
    • 0036767270 scopus 로고    scopus 로고
    • Maintaining stream statistics over sliding windows
    • 1954879 1008.68039 10.1137/S0097539701398363
    • Datar, M., Gionis, A., Indyk, P., & Motwani, R. (2002). Maintaining stream statistics over sliding windows. SIAM Journal on Computing, 31(6), 1794-1813.
    • (2002) SIAM Journal on Computing , vol.31 , Issue.6 , pp. 1794-1813
    • Datar, M.1    Gionis, A.2    Indyk, P.3    Motwani, R.4
  • 12
    • 0000582742 scopus 로고
    • Statistical theory: The prequential approach
    • 763811 0557.62080 10.2307/2981683
    • Dawid, A. P. (1984). Statistical theory: the prequential approach. Journal of the Royal Statistical Society. Series A, 147, 278-292.
    • (1984) Journal of the Royal Statistical Society. Series A , vol.147 , pp. 278-292
    • Dawid, A.P.1
  • 13
    • 29644438050 scopus 로고    scopus 로고
    • Statistical comparisons of classifiers over multiple data sets
    • 2274360 1222.68184
    • Demsar, J. (2006). Statistical comparisons of classifiers over multiple data sets. Journal of Machine Learning Research, 7, 1-30.
    • (2006) Journal of Machine Learning Research , vol.7 , pp. 1-30
    • Demsar, J.1
  • 14
    • 0008411625 scopus 로고    scopus 로고
    • Approximate statistical tests for comparing supervised classification learning algorithms
    • Oregon State University
    • Dietterich, T. (1996). Approximate statistical tests for comparing supervised classification learning algorithms. Corvallis, technical report nr. 97.331, Oregon State University.
    • (1996) Corvallis, Technical Report Nr. 97.331
    • Dietterich, T.1
  • 19
    • 33749618778 scopus 로고    scopus 로고
    • Learning with drift detection
    • A. L. C. Bazzan S. Labidi (eds) São Luis, Brasil Lecture notes in computer science 3171 Springer Berlin 10.1007/978-3-540-28645-5-29
    • Gama, J., Medas, P., Castillo, G., & Rodrigues, P. (2004). Learning with drift detection. In A. L. C. Bazzan & S. Labidi (Eds.), Lecture notes in computer science: Vol. 3171. Advances in artificial intelligence - SBIA 2004, São Luis, Brasil (pp. 286-295). Berlin: Springer.
    • (2004) Advances in Artificial Intelligence - SBIA 2004 , pp. 286-295
    • Gama, J.1    Medas, P.2    Castillo, G.3    Rodrigues, P.4
  • 23
    • 10044238664 scopus 로고    scopus 로고
    • Mining frequent patterns in data streams at multiple time granularities
    • H. Kargupta A. Joshi K. Sivakumar Y. Yesha (eds) AAAI Press/MIT Press Menlo Park/Cambridge
    • Giannella, C., Han, J., Pei, J., Yan, X., & Yu, P. (2003). Mining frequent patterns in data streams at multiple time granularities. In H. Kargupta, A. Joshi, K. Sivakumar, & Y. Yesha (Eds.), Next generation data mining. Menlo Park/Cambridge: AAAI Press/MIT Press.
    • (2003) Next Generation Data Mining
    • Giannella, C.1    Han, J.2    Pei, J.3    Yan, X.4    Yu, P.5
  • 25
    • 0032137328 scopus 로고    scopus 로고
    • Tracking the best expert
    • 0912.68165 10.1023/A:1007424614876
    • Herbster, M., & Warmuth, M. (1998). Tracking the best expert. Machine Learning, 32(2), 151-178.
    • (1998) Machine Learning , vol.32 , Issue.2 , pp. 151-178
    • Herbster, M.1    Warmuth, M.2
  • 26
    • 84947403595 scopus 로고
    • Probability inequalities for sums of bounded random variables
    • 144363 0127.10602 10.1080/01621459.1963.10500830
    • Hoeffding, W. (1963). Probability inequalities for sums of bounded random variables. Journal of the American Statistical Association, 58(301), 13-30.
    • (1963) Journal of the American Statistical Association , vol.58 , Issue.301 , pp. 13-30
    • Hoeffding, W.1
  • 31
    • 77950689531 scopus 로고    scopus 로고
    • Tracking recurring contexts using ensemble classifiers: An application to email filtering
    • 10.1007/s10115-009-0206-2
    • Katakis, I., Tsoumakas, G., & Vlahavas, I. (2010). Tracking recurring contexts using ensemble classifiers: an application to email filtering. Knowledge and Information Systems, 22, 371-391.
    • (2010) Knowledge and Information Systems , vol.22 , pp. 371-391
    • Katakis, I.1    Tsoumakas, G.2    Vlahavas, I.3
  • 34
    • 58349084016 scopus 로고    scopus 로고
    • Ph.D. thesis, University of Waikato, New Zealand.
    • Kirkby, R. (2008). Improving Hoeffding trees. Ph.D. thesis, University of Waikato, New Zealand.
    • (2008) Improving Hoeffding Trees
    • Kirkby, R.1
  • 35
    • 84883713774 scopus 로고    scopus 로고
    • Learning drifting concepts: Example selection vs. example weighting
    • Klinkenberg, R. (2004). Learning drifting concepts: example selection vs. example weighting. Intelligent Data Analysis, 8(3), 281-300.
    • (2004) Intelligent Data Analysis , vol.8 , Issue.3 , pp. 281-300
    • Klinkenberg, R.1
  • 36
    • 37749050180 scopus 로고    scopus 로고
    • Dynamic weighted majority: An ensemble method for drifting concepts
    • 1222.68237
    • Kolter, J. Z., & Maloof, M. A. (2007). Dynamic weighted majority: an ensemble method for drifting concepts. Journal of Machine Learning Research, 8, 2755-2790.
    • (2007) Journal of Machine Learning Research , vol.8 , pp. 2755-2790
    • Kolter, J.Z.1    Maloof, M.A.2
  • 43
    • 16244377118 scopus 로고    scopus 로고
    • Test of Page-Hinkley, an approach for fault detection in an agro-alimentary production system
    • 2
    • Mouss, H., Mouss, D., Mouss, N., & Sefouhi, L. (2004). Test of Page-Hinkley, an approach for fault detection in an agro-alimentary production system. In Proceedings of the Asian control conference (Vol. 2, pp. 815-818).
    • (2004) Proceedings of the Asian Control Conference , pp. 815-818
    • Mouss, H.1    Mouss, D.2    Mouss, N.3    Sefouhi, L.4
  • 44
    • 0002916530 scopus 로고
    • Continuous inspection schemes
    • 88850 0056.38002 10.2307/2333009
    • Page, E. S. (1954). Continuous inspection schemes. Biometrika, 41(1/2), 100-115.
    • (1954) Biometrika , vol.41 , Issue.12 , pp. 100-115
    • Page, E.S.1
  • 47
    • 0030126609 scopus 로고    scopus 로고
    • Learning in the presence of concept drift and hidden contexts
    • Widmer, G., & Kubat, M. (1996). Learning in the presence of concept drift and hidden contexts. Machine Learning, 23, 69-101.
    • (1996) Machine Learning , vol.23 , pp. 69-101
    • Widmer, G.1    Kubat, M.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.