Discovery of Classification Rules from Databases

Graeme Richards; Beatriz de la Iglesia

doi:10.4018/978-1-59140-553-5.ch156

Discovery of Classification Rules from Databases

Research output: Chapter in Book/Report/Conference proceeding › Entry for encyclopedia/dictionary

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.

Original language	English
Title of host publication	Encyclopedia of Information Science and Technology
Editors	Mehdi Khosrow-Pour
Publisher	IGI Global
Pages	892-896
Number of pages	5
ISBN (Print)	9781591405535
DOIs	https://doi.org/10.4018/978-1-59140-553-5.ch156
Publication status	Published - Jan 2005

Access to Document

10.4018/978-1-59140-553-5.ch156

Cite this

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title = "Discovery of Classification Rules from Databases",

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.",

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