AxISLogMiner: Preprocessing and Sequential Pattern Extraction
AxISLogMiner is a software application that implements our preprocessing methodology for Web Usage Mining  and our work on sequential pattern extraction with low support.
We used Java to implement our application as this gives several benefits both in terms of added functionality and in terms of implementation simplicity. The application uses Perl modules for the operations carried on the log file such as: log files join, log cleaning, robot requests filtering and session/visit/episode identification. To store the preprocessed log file, in our relational model we used JDBC with Java. The result of this preprocessing is then used in data mining tool to extract, for instance, sequential patterns consisting in sequences of Web pages frequently requested by users. We endowed this software with the ability of recording the keywords employed by users in search engines to find the browsed pages.