期刊名称：International Journal of Computer Trends and Technology
电子版ISSN：2231-2803
出版年度：2015
卷号：23
期号：1
页码：31-34
DOI：10.14445/22312803/IJCTT-V23P107
出版社：Seventh Sense Research Group
摘要：Web mining is the combination of data assembled by combining information mining techniques and procedures with data accumulated over the World Wide Web. Mining means extricating something helpful or important from a large no of datasets .Web mining is utilized to comprehend client conduct, assess the adequacy of a specific Web website, and help evaluate the accomplishment of a specified task. The proposed work is aimed to find a solution for generating different frequent item sets at each site in a distributed network. Apriori algorithm is a very popular algorithm for data mining that is dependent upon reducing infrequent item from item sets for mining useful data. Apriori algorithm can be very slow because of no of transactions. In order to increase the efficiency of the algorithm the initial item set is further clustered using KMeans algorithm. Cloud computing and data mining are emerging technologies dealing with major issues such as security and scalability and efficiency. The proposed work aims to increase efficiency of both the technologies.
