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

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 people�s 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 Na�ve Bayesian classifier. Weka software is used one of Data Mining techniques in this paper.