Please use this identifier to cite or link to this item: https://scholar.utcc.ac.th/handle/6626976254/323
Title: A Study of Factors Affecting the Thai Population Income Using Data Mining Techniques
Authors: Jalernrat, Sirithorn 
Phipathananunth, Chadarat 
Issue Date: 2013
Publisher: Chulalongkorn University Printing House
University of the Thai Chamber of Commerce
Source: Sirithorn Jalernrat, Chadarat Phipathananunth (2013) A Study of Factors Affecting the Thai Population Income Using Data Mining Techniques. University of the Thai Chamber of Commerce Journal Vol.33 No.1.
Journal: University of the Thai Chamber of Commerce Journal 
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.
URI: https://scholar.utcc.ac.th/handle/6626976254/323
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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