Abstract: As the web is growing rapidly, the various search engines plays a inefficient role in retrieving the data from the internet. When the user request for a data, the search engines provides huge amount of links related to data directly or indirectly as a search result. Thus it becomes impossible to the user to go through every link provided as a result to the user to retrieve the data required at the moment. To minimize this problem, ranking web page is one of the most basic and preferable algorithm to sort the data in the manner that the maximum required data or efficient data will be shown in minimum links or WebPages. In this algorithm, the different web pages are assigned a rank as per there usability and user interest and time taken by server to provide data to client on client side. In the presented work, I am working on the same issue i.e. webpage ranking on the basis of the page time taken to execute on client side and posted date. The complete work is inspired by the behavior of the real ant colonies. As per the artificial ant visits the webpage, the rank is assigned to the different WebPages as per there interest calculated through their pheromone, time consumed to cover the whole path.
Keywords: Web mining, Ant colony, page rank.
Title: Time Based Web Usage Mining Using Ant Colony Algorithm
Author: Er. Reena, Er. Jyoti Arora
International Journal of Computer Science and Information Technology Research,
ISSN 2348-1196 (print), ISSN 2348-120X (online)
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