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Volumn 4874 LNAI, Issue , 2007, Pages 112-123

Change detection in learning histograms from data streams

Author keywords

[No Author keywords available]

Indexed keywords

ALGORITHMS; DATA ACQUISITION; PROBABILITY DISTRIBUTIONS; PROBLEM SOLVING;

EID: 38349032865     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-540-77002-2_10     Document Type: Conference Paper
Times cited : (35)

References (12)
  • 1
    • 33751066175 scopus 로고    scopus 로고
    • Discretization from Data Streams: Applications to Histograms and Data Mining
    • ACM Press, New York
    • Gama, J., Pinto, C.: Discretization from Data Streams: applications to Histograms and Data Mining. In: ACM Symposium on Applied Computing, pp. 662-667. ACM Press, New York (2006)
    • (2006) ACM Symposium on Applied Computing , pp. 662-667
    • Gama, J.1    Pinto, C.2
  • 3
    • 84883713774 scopus 로고    scopus 로고
    • Learning drifting concepts: Example selection vs. example weighting
    • Klinkenberg, R.: Learning drifting concepts: Example selection vs. example weighting. Intelligent Data Analysis 8(3), 281 300 (2004)
    • (2004) Intelligent Data Analysis , vol.8 , Issue.3 , pp. 281-300
    • Klinkenberg, R.1
  • 4
    • 0141804082 scopus 로고    scopus 로고
    • Detecting concept drift with support vector mar chines
    • Langley, P, ed, Stanford, US, pp, Morgan Kaufmann Publishers, San Francisco
    • Klinkenberg, R., Joachims, T.: Detecting concept drift with support vector mar chines. In: Langley, P. (ed.) Proceedings of ICML 2000. 17th International Conference on Machine Learning, Stanford, US, pp. 487-494. Morgan Kaufmann Publishers, San Francisco (2000)
    • (2000) Proceedings of ICML 2000. 17th International Conference on Machine Learning , pp. 487-494
    • Klinkenberg, R.1    Joachims, T.2
  • 5
    • 0009300196 scopus 로고    scopus 로고
    • Adaptive information filtering: Learning in the presence of concept drifts
    • AAAI Press, Stanford, California, USA
    • Klinkenberg, R., Renz, I.: Adaptive information filtering: Learning in the presence of concept drifts. In: Learning for Text Categorization, pp. 33-40. AAAI Press, Stanford, California, USA (1998)
    • (1998) Learning for Text Categorization , pp. 33-40
    • Klinkenberg, R.1    Renz, I.2
  • 6
    • 0030126609 scopus 로고    scopus 로고
    • Learning in the presence of concept drift and hidden contexts
    • Widmer, G., Kubat, M.: Learning in the presence of concept drift and hidden contexts. Machine Learning 23, 69-101 (1996)
    • (1996) Machine Learning , vol.23 , pp. 69-101
    • Widmer, G.1    Kubat, M.2
  • 7
    • 0034299906 scopus 로고    scopus 로고
    • Selecting examples for partial memory learning
    • Maloof, M., Michalski, R.: Selecting examples for partial memory learning. Machine Learning 41, 27-52 (2000)
    • (2000) Machine Learning , vol.41 , pp. 27-52
    • Maloof, M.1    Michalski, R.2
  • 10
    • 38349079370 scopus 로고    scopus 로고
    • Dasu, T., Krishnan, S., Venkatasubramanian, S., Yi, K.: An Information-Theoretic Approach to Detecting Changes in Multi-Dimensional Data Streams. In: Interface 2006 (Pasadena, CA) Report (2006)
    • Dasu, T., Krishnan, S., Venkatasubramanian, S., Yi, K.: An Information-Theoretic Approach to Detecting Changes in Multi-Dimensional Data Streams. In: Interface 2006 (Pasadena, CA) Report (2006)
  • 12
    • 38349033907 scopus 로고    scopus 로고
    • Correa, M., de Ramírez, M.J., Bielza, C., Pamies, J., Alique, J.R.: Prediction of surface quality using probabilistic models. In: 7th Congress of the Colombian Association of Automatic, Cali, Colombia, March 21-24, 2007 (2007) (in Spanish) Domingos, P., Hulten, G.: Learning from infinite data in finite time. In: Advances in Neural Information Processing Systems 14. MIT Press, Cambridge, MA (2002)
    • Correa, M., de Ramírez, M.J., Bielza, C., Pamies, J., Alique, J.R.: Prediction of surface quality using probabilistic models. In: 7th Congress of the Colombian Association of Automatic, Cali, Colombia, March 21-24, 2007 (2007) (in Spanish) Domingos, P., Hulten, G.: Learning from infinite data in finite time. In: Advances in Neural Information Processing Systems 14. MIT Press, Cambridge, MA (2002)


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.