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DynamicWEB: Adapting to concept drift in COBWEB

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Scanlan, J and Hartnett, J and Williams, R (2008) DynamicWEB: Adapting to concept drift in COBWEB. In: 21st Australasian Joint Conference on Artifical Intelligence A1-08, 3-5 December 2008, Auckland, New Zealand. (Submitted)

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Abstract

Examining concepts that change over time has been an active area of research within data mining. This paper presents a new method that functions in contexts where concept drift is present, while also allowing for modification of the instances themselves as they change over time. This method is well suited to domains where subjects of interest are sampled multiple times, and where they may migrate from one resultant concept to another. The method presented here is an extensive modification to the conceptual clustering algorithm COBWEB, and is titled DynamicWEB.

Item Type: Conference or Workshop Item (Paper)
Date Deposited: 21 Aug 2008 03:56
Last Modified: 18 Nov 2014 03:46
URI: http://eprints.utas.edu.au/id/eprint/7082
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