Business data is growing day by day very rapidly and it is very important to visualize the hidden patterns of the large business data sets effectively to enhance the business and also to compete with the upcoming business competitors apart from full filling the dynamic requirements of customers. The Machine learning is one of the upcoming technologies or methods to address the business challenges and helps the business growth. In this paper, various classifiers were applied on the pre-processed and K- means clustered data set. Comparison was made and summarized the outcomes with the purpose to know the suitability of the classifier procedure for effectiveness of analysis of the data set. It was found that NNGE classifier was the best among all and followed by M5P tree classifier. Apart from that, Explorative data analysis was also made on the pre-processed data set in order to exploit the hidden patterns for effective conclusions.
Volume 11 | Issue 11
Pages: 260-266
DOI: 10.5373/JARDCS/V11I11/20193195