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Jalernrat, Sirithorn and Phipathananunth, Chadarat (2013) A Study of Factors Affecting the Thai Population Income Using Data Mining Techniques. University of the Thai Chamber of Commerce Journal, 33 (1). ISSN 0125-2437

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Abstract

This research studied and analyzed data from the Labor Force Survey 2009, Office of National Statistics, Thailand. We used a data mining technique to create models for data classification and to study the factors affecting income of the Thai population. The decision tree C4.5 algorithm was used to build models in WEKA. We created the models by using the training data of population in four industries: agriculture and fisheries, manufacturing, trade and services, and other industries. Experiments with four confidence factors (CF) were made to determine the appropriate CF model. We tested the performance of the models using the selected test data based on the correction, precision, recall and the size of the tree, etc. According to our research results, the factor affecting the income of the Thai population in agriculture and fisheries, and trade and services industries is occupation; the factor affecting the manufacturing industry is type of employment, and that affecting other industries is age.

Item Type: Article
Subjects: General Works > Journals
Science and Technology > Information Technology and Communication
Divisions: UTCC Journal Editorial Office
Depositing User: Sirichai Jintaviriyasakoon
Date Deposited: 06 Jun 2014 23:30
Last Modified: 06 Jun 2014 23:30
URI: http://eprints.utcc.ac.th/id/eprint/1193

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