Finding Interest of People in Purchasing Real Estate by Using Data Mining Techniques
Swati Singh1, Gaurav Dubey2
1Swati Singh, Department of Computer Science, Amity University, Noida (Uttar Pradesh), India.
2Gaurav Dubey, Department of Computer Science, Amity University, Noida (Uttar Pradesh), India.
Manuscript received on 21 May 2013 | Revised Manuscript received on 28 May 2013 | Manuscript published on 30 May 2013 | PP: 176-179 | Volume-2 Issue-2, May 2013 | Retrieval Number: B0641052213/2013©BEIESP
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
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.
Keywords: Data mining, Purchasing Real Estate
Scope of the Article: Data mining