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General Information
    • ISSN: 2010-3689
    • Frequency: Bimonthly (2011-2014); Monthly (Since 2015)
    • DOI: 10.18178/IJIET
    • Editor-in-Chief: Prof. Dr. Steve Thatcher
    • Executive Editor: Ms. Nancy Y. Liu
    • Abstracting/ Indexing: EI (INSPEC, IET), Electronic Journals Library, Google Scholar, Crossref and ProQuest
    • E-mail: ijiet@ejournal.net
Prof. Dr. Steve Thatcher
QUniversity, Australia
It is my honor to be the editor-in-chief of IJIET. The journal publishes good-quality papers which focous on the advanced researches in the field of information and education technology. Hopefully, IJIET will become a recognized journal among the scholars in the related fields.

IJIET 2013 Vol.3(4): 437-441 ISSN: 2010-3689
DOI: 10.7763/IJIET.2013.V3.314

Using Tic-Tac-Toe for Learning Data Mining Classifications and Evaluations

Chen-Huei Chou
Abstract—Tic-Tac-Toe game is a popular two-player game played on a three by three grid. The first objective of this study is to examine whether machine learners can successfully classify Tic-Tac-Toe finished games. The second objective is to find out whether novices learning data mining classifications can successfully conduct experiments to evaluate the performance of machine learners using different evaluation methods. Seven machine learners are used and three evaluation methods are applied in this study. The experimental results show that machine classifiers can successfully judge the finished games and novice can correctly conduct evaluations. Also, in-depth instructional pedagogy further improves the correctness of evaluations.

Index Terms—Classification, data mining, evaluation, Tic-Tac-Toe game.

C.-H. Chou is with the School of Business, College of Charleston, Charleston, SC 29424 USA (e-mail: chouc@cofc.edu).


Cite:Chen-Huei Chou, "Using Tic-Tac-Toe for Learning Data Mining Classifications and Evaluations," International Journal of Information and Education Technology vol. 3, no. 4, pp. 437-441, 2013.

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