Web mining is one of the sub fields of data mining, the selection, retrieval or extraction
of knowledge from large amounts of information held in data bases, data storage facilities,
or other information repositories. (Han-Kamber, 2004) Thus through web mining we can
obtain new knowledge inaccessible by the use of existing data base technology devices.
Data mining can be used in all areas in which a large amount of data is produced including
business, education, etc. While data mining is based on statistics, its use of advance
mathematics and informatics far exceeds the limits of the statistical approach.
The World Wide Web and the relevant divided information providing services function
as an educational surface as well. While the managements of educational institutions
significantly rely on the use of this communication platform, satisfying the information
needs of the student population has to be based on an analysis of user habits and
behaviour according to the routes supplied by the links located on the respective
web pages. The collection of user accessibility patterns in such divided information-based
environment is called accessibility route pattern mining
The present research focuses on web log-based web usage mining as one of the sub fields
of web mining. The presentation concentrates on the beginning stage of the research
effort assisted by the SPSS Clementine data mining software and the associated Web
Mining CAT module. The research effort performing a thorough examination of the home
page of the Eszterházy Károly College attempts to identify ergonomic and educational
problems.
