The Data Mining Model that Predicts the Customer Decision-Making in Buying or Renting a Home
International Journal of Science and Research (IJSR)

International Journal of Science and Research (IJSR)
www.ijsr.net | Open Access | Fully Refereed | Peer Reviewed International Journal

ISSN: 2319-7064

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Research Paper | Computer Methods in Applied Mechanics and Engineering | Burma | Volume 8 Issue 7, July 2019

The Data Mining Model that Predicts the Customer Decision-Making in Buying or Renting a Home

Myint Myint Than

For the last few decades, World Populations become larger and larger. All country in the world become more populated explosion. It is difficult for people to own a house. To solve this problem, they have to make a decision for Buying or Renting a house. This paper is aimed at people without a house to make the decision whether they would buy a house or rent. The main objective to this prediction is to advance the knowledge of what are factors that influences the peoples choice for living. The frequent item sets are minded and associated from the market basket database using the efficient algorithm and hence the association rules are generated. The prediction can be constructed using data mining approaches: j48 Decision Tree classifier and Nave Bayesian classifier. Weka software is used one of Data Mining techniques in this paper.

Keywords: Decision Tree, J48, Nave Bayes, Weka

Edition: Volume 8 Issue 7, July 2019

Pages: 1696 - 1680

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How to Cite this Article?

Myint Myint Than, "The Data Mining Model that Predicts the Customer Decision-Making in Buying or Renting a Home", International Journal of Science and Research (IJSR), https://www.ijsr.net/search_index_results_paperid.php?id=ART201910000, Volume 8 Issue 7, July 2019, 1696 - 1680

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