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Jalernrat, Sirithorn (2013) Data Mining Using Decision Tree Algorithms. University of the Thai Chamber of Commerce Journal, 33 (4). ISSN 0125-2437

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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.

Item Type: Article
Subjects: General Works > Journals
Science and Technology > Computer Science
Divisions: UTCC Journal Editorial Office
Depositing User: Sirichai Jintaviriyasakoon
Date Deposited: 26 Jun 2014 22:55
Last Modified: 26 Jun 2014 22:55
URI: http://eprints.utcc.ac.th/id/eprint/1244

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