期刊名称：International Journal of Information Technology Convergence and Services (IJITCS)
印刷版ISSN：2231-1939
电子版ISSN：2231-153X
出版年度：2014
卷号：4
期号：2
DOI：10.5121/ijitcs.2014.4201
出版社：AIRCC
摘要：ThisData 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
关键词：Data mining; ISP business; Business intelligence
