Classification using multiple and negative target rules
Paper
Paper/Presentation Title | Classification using multiple and negative target rules |
---|---|
Presentation Type | Paper |
Authors | Li, Jiuyong (Author) and Jones, Jason (Author) |
Editors | Gabrys, Bogdan, Howlett, Robert J. and Jain, Lakhmi C. |
Journal or Proceedings Title | Lecture Notes in Artificial Intelligence (Book series) |
Journal Citation | 4251, pp. 212-219 |
Number of Pages | 8 |
Year | 2006 |
Place of Publication | Germany |
ISBN | 9783540465355 |
Digital Object Identifier (DOI) | https://doi.org/10.1007/11892960_26 |
Web Address (URL) of Paper | https://link.springer.com/chapter/10.1007/11892960_26 |
Conference/Event | 10th International Conference on Knowledge-Based Intelligent Information and Engineering Systems (KES 2006) |
Event Details | 10th International Conference on Knowledge-Based Intelligent Information and Engineering Systems (KES 2006) Parent International Conference on Knowledge-Based and Intelligent Information and Engineering Systems Delivery In person Event Date 09 to end of 11 Oct 2006 Event Location Bournemouth, United Kingdom |
Abstract | Rules are a type of human-understandable knowledge, and rule-based methods are very popular in building decision support systems. However, most current rule based classification systems build small classifiers where no rules account for exceptional instances and a default prediction plays a major role in the prediction. In this paper, we discuss two schemes to build rule based classifiers using multiple and negative target rules. In such schemes, negative rules pick up exceptional instances and multiple rules provide alternative predictions. The default prediction is removed and hence all predictions relate to rules providing explanations for the predictions. One risk for building a large rule based classifier is that it may overfit training data and results in low predictive accuracy. We show experimentally that one classifier is more accurate than a benchmark rule based classifier, C4.5rules |
Keywords | classification; association rule; negative rule; multiple rule |
ANZSRC Field of Research 2020 | 469999. Other information and computing sciences not elsewhere classified |
Public Notes | File reproduced in accordance with the copyright policy of the publisher/author. |
Byline Affiliations | Department of Mathematics and Computing |
https://research.usq.edu.au/item/9y0y3/classification-using-multiple-and-negative-target-rules
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