Making ISP Business Profitable Using Data Mining

Abstract

This Data mining is a new powerful technology with great potential to extract hidden predictive information from large databases. Tools of data mining scour databases for hidden patterns, predict future trends and behaviours which allow businesses to make proactive, knowledge driven decision. This paper analyzes ISP's (Internet Service Provider) data to generate association rules for frequent patterns and apply the criteria support and confidence to identify the most important relationships. Here, Apriori algorithm is used to mine association rules. Furthermore, the conclusion point out business challenges and provides the proposals of making ISP business profitable.