Implementing Hybrid GA & Fuzzy KNN to Optimize the Classification of Fuzzy KNN
Abstract: In this paper data mining is the process of fetching hidden knowledge from a wide store of raw data. The knowledge must be new, and one must be able to use it. CRM is an information industry term that helps an enterprise to manage customer relationships in an organized way and helping the company to provide better services to its customers. In this paper to overcome the problems of CRM database a new hybrid algorithm is introduced which will be the combination of GA and Fuzzy KNN classification.
Keywords: data mining, Fuzzy KNN, Genetic Algorithm, Precision, Recall, f-measures, g-mean, sensitivity & specificity
How to Cite?: Simarpreet Kaur, Jyoti Arora, "Implementing Hybrid GA & Fuzzy KNN to Optimize the Classification of Fuzzy KNN", Volume 5 Issue 6, June 2016, International Journal of Science and Research (IJSR), Pages: 1988-1991, https://www.ijsr.net/getabstract.php?paperid=NOV164685, DOI: https://dx.doi.org/10.21275/NOV164685