Discovery of Classification Rules from Databases

Richards, Graeme and de la Iglesia, Beatriz ORCID: https://orcid.org/0000-0003-2675-5826 (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
Faculty \ School:	Faculty of Science > School of Computing Sciences
UEA Research Groups:	Faculty of Science > Research Groups > Norwich Epidemiology Centre Faculty of Medicine and Health Sciences > Research Groups > Norwich Epidemiology Centre Faculty of Medicine and Health Sciences > Research Centres > Business and Local Government Data Research Centre (former - to 2023) Faculty of Science > Research Groups > Data Science and AI
Depositing User:	Vishal Gautam
Date Deposited:	20 Jul 2011 15:28
Last Modified:	24 Sep 2024 07:44
URI:	https://ueaeprints.uea.ac.uk/id/eprint/22398
DOI:	10.4018/978-1-59140-553-5.ch156

Actions (login required)

View Item