M. G. Keely, D. J. Hand, and N. M. Adams. The impact of changing populations on classi er performance. In ACM SIGKDD, San Diego, CA, 1999. Home/Search Document Not in Database Summary Related Articles Check |
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Mining Time-Changing Data Streams - Hulten, Spencer, Domingos (2001) (48 citations) (Correct)
....nearestneighbor learning. Widmer and Kubat s [27] FLORA system used a window of examples, but also stored old concept descriptions and reactivated them if they seemed to be appropriate again. All of these systems were only applied to small databases (by today s standards) Kelly, Hand, and Adams [14] addressed the issue of drifting parameters in probability distributions. Theoretical work on concept drift includes [16] and [3] Ganti, Gehrke, and Ramakrishnan s [11] DEMON framework is designed to help adapt incremental learning algorithms to work e ectively with time changing data streams. ....
M. G. Kelly, D. J. Hand, and N. M. Adams. The impact of changing populations on classier performance. In Proceedings of the Fifth ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, pages 367-371, San Diego, CA, 1999. ACM Press.
Thesis Proposal - Ruoming Jin Department (Correct)
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M. G. Keely, D. J. Hand, and N. M. Adams. The impact of changing populations on classi er performance. In ACM SIGKDD, San Diego, CA, 1999.
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