• Charow N
• Dr. Sudha

Data Mining plays a vital role in prediction model development and knowledge discovery. This project follows the Cross-Industry Standard Process for data processing so as to develop a prediction model for the real estate land prices in numerous cities and villages within the Tamilnadu. the info has been collected from different sources which include social media networks, official newspapers, and advertisement newspapers, then it’s been analyzed using WEKA data mining tool for model development and analysis. the target of this project is to use data mining to assist the real estate advisors and consumers within the pricing estimations of the real estate land prices, and to cope with any changes within the and costs consistent with the market trends. The project considers variety of things which affect the land price, such as: land length and width, location, and land classification. linear regression is applied for analysis. The study shows that the model is influenced by the variance of the land price between different areas within the Tamilnadu, and so variety of enhancements are suggested for future development.

Data mining, Linear Regression, Real Estate

"PREDICTION OF REAL ESTATE PRICE USING DATA MINING TECHNIQUES", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.8, Issue 11, page no.d424-d426, November-2021, Available :http://www.jetir.org/papers/JETIR2111361.pdf

"PREDICTION OF REAL ESTATE PRICE USING DATA MINING TECHNIQUES", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.8, Issue 11, page no. ppd424-d426, November-2021, Available at : http://www.jetir.org/papers/JETIR2111361.pdf