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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.