期刊名称：International Journal of Innovative Research in Science, Engineering and Technology
印刷版ISSN：2347-6710
电子版ISSN：2319-8753
出版年度：2018
卷号：7
期号：7
页码：8110-8115
DOI：10.15680/IJIRSET.2018.70707086
出版社：S&S Publications
摘要：Data Mining is a pioneering and attractive research area due to its vast application areas and task
primitives. In broader point of view, we have reviewed the number of research publications that have been contributed
in various internationally reputed journals for the data mining applications and also suggested a possible number of
issues in SVM (Support vector Machine), BPNN (Back Propagation Neural Network) and KNN (K-Nearest Neighbor).
The main aim of this paper is to extrapolate the various areas of the above three classification algorithms with a basis of
understanding the technique and a comprehensive review, with their merits and demerits.
关键词：Data mining; Classification; Support vector machine (SVM); Back propagation neural network (BPNN)
and K;nearest neighbor (KNN);
