An Augmentation Hybrid System for Document Classification and Rating.

Dazeley, R and Kang, BH (2004) An Augmentation Hybrid System for Document Classification and Rating. In: PRICAI 2004: 8th Pacific Rim International Conference on Artificial Intelligence, August, Auckland, New Zealand.

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Abstract

This paper introduces an augmentation hybrid system, referred to as Rated MCRDR. It uses Multiple Classification Ripple Down Rules (MCRDR), a simple and effective knowledge acquisition technique, combined with a neural network.

Item Type:	Conference or Workshop Item (Paper)
Keywords:	Hybrid System, MCRDR, RDR, Knowledge Based System, Information Filtering, Document Rating.
ID Code:	60
Deposited By:	utas eprints
Deposited On:	04 Sep 2004
Last Modified:	18 Jul 2008 19:37
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