Abstract:
Nowadays , most of the people who may be in
educational field, IT fiel d, or business field or others
widely use the internet. The e learning, e mailing,
eCommerce and other online techniques are used. The
usage data are recorded by the Web server as the Web
Log Data. Web usage mining mines Web Log Data to
discover user acces s patterns of Web page. Association
Rules are used to discover the user access patterns. So,
in this paper, the Support ordered Trie Itemset
(SOTrieIT) algorithm to analyze which is the most
frequent visited website and Apriori algorithm, which is
candidat e generation algorithm to know the pairs of
websites, are used. From the result of this paper, user
can analyze the websites' popularity, usefulness and
effectiveness. Web administration can use this system
for finding the appropriate actions.
