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Development of Farmers Classification Model Using the Decision Tree Technique: A Case Study of Chaiyaphum Provicial Land Reform Areas Northeast of Thailand

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dc.contributor.advisor Guha, Sumanta (Chairman) en_US
dc.contributor.author Krisana Nuch-issara en_US
dc.contributor.other Ganesh Prasad Shivakoti (Member) en_US
dc.contributor.other Vatcharaporn Esichaikul (Member) en_US
dc.date.accessioned 2015-01-12T10:44:11Z
dc.date.available 2015-01-12T10:44:11Z
dc.date.issued 2012-01 en_US
dc.identifier.other AIT RSPR no.IM-12-02 en_US
dc.identifier.uri http://www.cs.ait.ac.th/xmlui/handle/123456789/488
dc.description.abstract The objective of this study is to develop farmer‟s classification model for Agricultural Land Reform Office (ALRO). This model is created for the purpose of using the application of decision tree technique to reduce the limitation of the monitoring process of land use rights in land reform area. With the limitation of ALRO database, the monitoring cannot be done efficiently. Thus, this research focuses on studying the data mining and decision tree technique, as well as applying it for developing farmers‟ classification model to obtain a set of factors the affect farmers‟ decision on land utilization. The results can be applied for improving the land use monitoring of ALRO by adding this set of factors in ALRO database for more efficient monitoring. With various factors, decision tree technique can be applied efficiently to classify factors that have an effect to farmers‟ decision to do illegal land use utilization. The 14 independent variables were selected to analyzed factors affecting farmer‟s behavior in land utilization. After running the data processing, the, 7 rules were classified based on the decision tree model. The rules show 9 out of 14 independent variables were determined as the factors affecting farmer‟s decision to do illegal. en_US
dc.description.sponsorship Ministry of Agricultural and Cooperatives Thailand en_US
dc.language.iso eng en_US
dc.subject.lcsh Others en_US
dc.title Development of Farmers Classification Model Using the Decision Tree Technique: A Case Study of Chaiyaphum Provicial Land Reform Areas Northeast of Thailand en_US
dc.type Research Report en_US


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