Data Mining Approach To Find the Interest of People in Purchasing Real Estate
Abhishek Yadav1, Rajeswari C2

1Abhishek Yadav, Department of Information Technology & Engineering, VIT University, Vellore, (Tamil Nadu), India.
2Rajeswari C, Department of Information Technology & Engineering, VIT University, Vellore, (Tamil Nadu), India.

Manuscript received on 22 May 2017 | Revised Manuscript received on 30 May 2017 | Manuscript published on 30 May 2017 | PP: 13-18 | Volume-6 Issue-2, May 2017 | Retrieval Number: B1673056217©BEIESP
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Abstract: Data mining is extraction of information and consolidates it to helpful data which can be utilized for future calculation and prediction of an event. Subsequently by utilizing data mining methods we are anticipating the interest of individuals in different types of real estate and we are also defining certain pattern can be helpful in purchasing them. In this research we are going to gather individual’s enthusiasm for the kind of properties, and other different kinds of information and transform them into data chains utilizing certain datamining algorithms by means of which we can predict people’s interest about what type of property they are likely going to buy and at what locations they are most likely to buy property. The data has been collected from websites such as In this research two data mining techniques that have been used to classify the data on the basis of certain attributes are Classification (zero classifier) and clustering (simple k means) and on the basis of results several graphs and bar charts are drawn. Problem Statement: Understanding the problems of client in real estate field about what properties to buy, what locations to select and how to utilize those Properties and defining different approaches to resolve it using certain data mining concepts and algorithms.
Keyword: Data mining, Purchasing Real Estate.

Scope of the Article: Data mining