Data Mining Algorithms for Classification

dc.contributor.advisor	Sprinkhuizen-Kuyper, I.G.
dc.contributor.author	Ozer, P.
dc.date.issued	2008-02-19
dc.description.abstract	Data Mining is a technique used in various domains to give mean- ing to the available data. In classification tree modeling the data is classified to make predictions about new data. Using old data to pre- dict new data has the danger of being too fitted on the old data. But that problem can be solved by pruning methods which degeneralizes the modeled tree. This paper describes the use of classification trees and shows two methods of pruning them. An experiment has been set up using different kinds of classification tree algorithms with dif- ferent pruning methods to test the performance of the algorithms and pruning methods. This paper also analyzes data set properties to find relations between them and the classification algorithms and pruning methods.	en_US
dc.identifier.uri	http://theses.ubn.ru.nl/handle/123456789/46
dc.language.iso	en	en_US
dc.thesis.faculty	Faculteit der Sociale Wetenschappen	en_US
dc.thesis.specialisation	Bachelor Artificial Intelligence	en_US
dc.thesis.studyprogramme	Artificial Intelligence	en_US
dc.thesis.type	Bachelor	en_US
dc.title	Data Mining Algorithms for Classification	en_US

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