Web Usage Mining Using Association Rules

K. Prabha, T. Suganya

Abstract


The explosive growth of Internet has given rise to many websites which maintain large amount of user information. The very important is to utilize this information, identifying usage pattern of users. The process of finding out this usage pattern and has many practical applications. The paper discusses how association rules can be used to discover patterns in web usage mining.Starts with preprocessing of the given weblog, followed by grouping them and finding the association rules. These rules help to improve website design, in advertising, web personalization etc. The web designers can restructure their web sites efficiently with the help of presence or absence of the association rules.


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