Distributed Learning Predictors through Web Log Mining using Bayesian Networks

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Dr (Mrs) Sujni Paul
Mr. Suresh, Mrs.Beulah Christalin Latha


Distributed learning discusses the various strategies in which learners are separated but communicate between themselves through the
learning coaches. This makes the learners improve the learning skills and decrease learning times. A large part of hidden information resides in
a weblog server (i.e.), user IP address, location, time, Number of entries. Web log designer can analyse these information and rank the weblogs
based on this information. In this paper weblog analysis of data is done through distributed system by using the Bayesian networks. The
behaviour of a web site’s users may change so that the designer can trace out the user behaviour from web log to make predictions, according to
the frequent patterns accessed through the log files For the classification purpose Bayesian classifier is used which is based on the probability

Keywords- weblogs; distributed node; distributed learner; Bayesian classifier; mining.


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