期刊名称：BVICAM's International Journal of Information Technology
印刷版ISSN：0973-5658
出版年度：2016
卷号：8
期号：2
语种：English
出版社：Bharati Vidyapeeth's Institute of Computer Applications and Management
摘要：Data mining has turned out to be a milestone in information industry. The need of data mining tools can be evidenced in almost every field. Classification is one of the data mining techniques which are used for knowledge discovery. Out of the various alternatives to evolve a classification model, KNN is a very popular and apprehensible one. Although, KNN incorporates a number of limitations in it but these can be bumped-off by making some alterations to the standard KNN algorithm. Numerous variants of KNN have been proposed by many researchers in previously done studies and they have also outperformed the standard KNN. In present study, a modified version of KNN algorithm has been proposed which commingles firefly algorithm with standard KNN. The performance of this modified algorithm is examined with respect to the standard KNN and it is found that the proposed algorithm works well in case of large data sets.
