Please use this identifier to cite or link to this item: https://scholar.utcc.ac.th/handle/6626976254/377
Title: Data Mining Using Decision Tree Algorithms
Authors: Jalernrat, Sirithorn 
Issue Date: 2013
Publisher: Chulalongkorn University Printing House
University of the Thai Chamber of Commerce
Source: Sirithorn Jalernrat (2013) Data Mining Using Decision Tree Algorithms. University of the Thai Chamber of Commerce Journal Vol.33 No.4.
Journal: University of the Thai Chamber of Commerce Journal 
Abstract: Decision trees are generally accepted as a well-known data classification technique for their efficiency, ease of use and relatively low complexity. A decision tree can be conveniently converted into a set of classification rules. This article introduces data mining emphasizing the use of decision trees, including well-known algorithms such as 1D3, CART, C4.5 and C5.0, and then examines their advantages and disadvantages. Finally, applications of decision trees are discussed in various domains such as financial analysis, Web information extraction, remote sensing image mining, Thai word extraction and Website failure diagnosis.
URI: https://scholar.utcc.ac.th/handle/6626976254/377
ISSN: 0125-2437
Rights: This work is protected by copyright. Reproduction or distribution of the work in any format is prohibited without written permission of the copyright owner.
Appears in Collections:JEO: Journal Articles

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