Discovery of Classification Rules from Databases

Richards, Graeme and de la Iglesia, Beatriz ORCID: (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)


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 Medicine and Health Sciences > Research Centres > Business and Local Government Data Research Centre (former - to 2023)
Faculty of Science > Research Groups > Data Science and Statistics
Depositing User: Vishal Gautam
Date Deposited: 20 Jul 2011 15:28
Last Modified: 01 Mar 2023 09:32
DOI: 10.4018/978-1-59140-553-5.ch156

Actions (login required)

View Item View Item