Abstract:
Web mining techniques can use to search for
web access patterns, web structures, regularity and
dynamics of web contents. Web usage mining
analyzes Web log files to discover user accessing
patterns of Web pages. Log file data can offer
valuable insight into web site usage. It reflects actual
usage in natural working condition, compared to the
artificial setting of a usability lab. This paper
presents web log mining based on hierarchy of web
usage data by generalized association rule. Multilevel association rule will be used for implementation
of generalized association rule. In this system, Web
log database is used to store web log records of log
files collected from web server. And web log
database are constructed via a process of data
cleaning, data transformation. By using FP tree, the
system generates rules from web log data, will reduce
counting phase of association rule since it stores the
pre-computed count values. Frequent patterns are
generated instead of page item-sets. The generated
frequent patterns can later be applied to improve web
site management, decision making process.
