Finding interest of people in purchasing real estate by using data mining techniques

Abstract

Data mining is the extraction of hidden predictive information from large databases; it is a powerful technology with great potential to help organizations focus on the most important information in their data warehouses. Data mining tools predict future trends and behaviours, helps organizations to make proactive knowledge-driven decisions. Hence by using data mining techniques we predict the interest of people in real estate and their pattern of purchasing them. The data has collected by moving the questionnaire among the people. We used two data mining techniques that classify the data based on certain attributes, are classification (Zeror classifier) and clustering (simple k means). And then based on their result several bar charts have been drawn.