Comparing the Efficiency of Different Normalization Methods using C4.5 Algorithm

dc.contributor.author	Oo, Khin Nwe
dc.date.accessioned	2019-07-31T03:00:00Z
dc.date.available	2019-07-31T03:00:00Z
dc.date.issued	2009-12-30
dc.identifier.uri	http://onlineresource.ucsy.edu.mm/handle/123456789/1477
dc.description.abstract	This paper presents three different types of normalization methods. Normalization is particularly useful for classification algorithm. Each normalization method is tested against the C4.5 algorithm methodology using the data sets with accuracy, tree growing time and number of leaf nodes. In this paper, min-max normalization, z-score normalization and normalization by decimal scaling normalization are compared among large amount of data set. From this comparison, the best normalization method is chosen.	en_US
dc.language.iso	en	en_US
dc.publisher	Fourth Local Conference on Parallel and Soft Computing	en_US
dc.title	Comparing the Efficiency of Different Normalization Methods using C4.5 Algorithm	en_US
dc.type	Article	en_US