Mining the Most Interesting Web Access Associations

: Web access patterns can provide valuable information for website designers in making website-based communication more efficient. To extract interesting or useful web access patterns, we use data mining techniques which analyze historical web access logs. In this paper, we present an efficient approach to mine the most interesting web access associations, where the word "interesting" denotes patterns that are supported by a high fraction of access activities with strong confidence. Our approach consists of three steps: 1) transform raw web logs to a relational table; 2) convert the relational table to a collection of access transactions; 3) mine the transaction collection to extract associations and rules. In both step 1 and step 2, we provide users with an effective mechanism to help them generate only "interesting" access records and transactions for mining. In the third step, we present a new efficient data mining algorithm to find the most interesting web acces...

• Type: Conference
• Year: 2000
• Where: WEBNET
• Authors: Li Shen, Ling Cheng, James Ford, Fillia Makedon, Vasileios Megalooikonomou, Tilmann Steinberg
• Keywords: Interesting Web Access, Web Access, Web Access Patterns, WEBNET 2000, WEBNET 2001