Identifying Customer Interest in Real Estate Using Data Mining Techniques
نویسندگان
چکیده
Real estate industry has become a highly competitive business with an enormous amount of unstructured documents and resources. The process of data mining in such a business provides an advantage to the developers by processing those data, predicting future trends and helping them to make favorable knowledge-driven decisions. In this paper, we focus on data mining techniques and its applications to develop a model which not only predicts the most suitable area for a customer based on his interest, but also identifies the most preferred and ideal location of real estate in any given area by ranking them. Keywords-– data mining, infogainattributeeval, linear regression, ranking, rapidminer, weka.
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