Discovery of Classification Rules from Databases
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Richards, G. and de la Iglesia, B. (2005) Discovery of Classification Rules from Databases. In: Encyclopedia of Information Science and Technology. IGI Global, pp. 892-896. ISBN 9781591405535
Full text not available from this repository. (Request a copy)Abstract
In descriptive data mining, the objective is to build an understandable model that provides insight into the behaviour or characteristics of some data. The data comprise a set of records, each of which assigns values to a set of features or attributes. One of these features is designated the target feature; the value of this feature is described as the class of the record.
Item Type: | Book Section |
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Faculty \ School: | Faculty of Science > School of Computing Sciences |
Related URLs: | |
Depositing User: | Vishal Gautam |
Date Deposited: | 20 Jul 2011 15:28 |
Last Modified: | 02 Apr 2021 01:46 |
URI: | https://ueaeprints.uea.ac.uk/id/eprint/22398 |
DOI: | 10.4018/978-1-59140-553-5.ch156 |
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