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Applying a Classification Model for Selecting Postgraduate Programs

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Advances in Swarm Intelligence (ICSI 2017)

Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 10386))

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Abstract

Some people have failed in selection of postgraduate programs. This is due to the lack of potential information to support a making decision. Although a large amount of data based on information systems in academic institutes has been collected for years, the use of the data is still not supporting academic benefits, particularly to the students or applicants. In this work, we present the use of data mining technique, particularly classification technique, to support applicants in selection of postgraduate programs. The paper also presents the study on educational structure in Thailand, and background of data mining concepts and techniques. The details of learning process to built-up the classification model is described and some examples of extracted rules from the classification model are given. We also present the case study and usage of the model.

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Correspondence to Waraporn Jirapanthong .

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Jirapanthong, W., Niranatlamphong, W., Yampray, K. (2017). Applying a Classification Model for Selecting Postgraduate Programs. In: Tan, Y., Takagi, H., Shi, Y., Niu, B. (eds) Advances in Swarm Intelligence. ICSI 2017. Lecture Notes in Computer Science(), vol 10386. Springer, Cham. https://doi.org/10.1007/978-3-319-61833-3_35

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  • DOI: https://doi.org/10.1007/978-3-319-61833-3_35

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-61832-6

  • Online ISBN: 978-3-319-61833-3

  • eBook Packages: Computer ScienceComputer Science (R0)

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