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June 2017 Issue Vol.7 No.6
FP Growth Algorithm for Preprocessing Web
Log Data for Web Mining
https://ia601505.us.archive.org/24/items/vol7no06/vol7no06.pdf
Serin J
Research Scholar, Research & Development center,Bharathiar University, Coimbatore,Tamil Nadu, India
Dr.R. Lawrance
Director, Department of Computer Applications,Ayya Nadar Janaki Ammal College, Sivakasi, Tamil Nadu, India
Abstract:
Today, the www has produce huge amount of data storage. Hence the all users of activities will be
stored as a log file. The log file shows the interest on the particular website. With a wide usage of internet, the log
file size is growing rapidly. Web mining is the process ofextracting information from web data. The raw data won’t
expose the users’ accessing pattern. So, the preprocessing plays a major role in web mining. Web
Usage Mining is the very important in data mining to extract and analyze the usage pattern of users using the
server log file. The quality of the input decides the quality of the output. Preprocessing is the noteworthy process
before mining the interesting information from data. In this paper it has been proposed and implemented the
preprocessing techniques to data cleaning, user identification and session identification.
Keywords:log file, preprocessing, user identification,session identification.
