John R. Punin

Web Usage Mining — Languages and Algorithms

Web Usage Mining deals with the discovery of interesting information from user navigational patterns from web logs. While extracting simple information from web logs is easy, mining complex structural information is very challenging. Data cleaning and preparation constitute a very significant effort before mining can even be applied. We propose two new XML applications, XGMML and LOGML to help us in this task. XGMML is a graph description language and LOGML is a web-log report description language. We generate a web graph in XGMML format for a web site and generate web-log reports in LOGML format for a web site from web log files and the web graph. We show the simplicity with which mining algorithms can be specified and implemented efficiently using our two XML applications.

LOGML: Log Markup Language for Web Usage Mining

Web Usage Mining refers to the discovery of interesting information from user navigational behavior as stored in web access logs. While extracting simple information from web logs is easy, mining complex structural information is very challenging. Data cleaning and preparation constitute a very significant effort before mining can even be applied. We propose two new XML applications, XGMML and LOGML to help us in this task. XGMML is a graph description language and LOGML is a web-log report description language. We generate a web graph in XGMML format for a web site using the web robot of the WWWPal system. We generate web-log reports in LOGML format for a web site from web log files and the web graph. We further illustrate the usefulness of LOGML in web usage mining; we show the simplicity with which mining algorithms (for extracting increasingly complex frequent patterns) can be specified and implemented efficiently using LOGML.

A GUI for Parallel Code Generation

Developing applications for parallel architectures is a very complicated and arduous task even for expert programmers. There are several issues that must be considered, i.e., the number of CPU’s available, vector processing capabilities, shared memory issues, process communications, and process synchronization, to name a few. Software developers have been trained to view the solution to a selected problem as a sequence of dependent steps or transitions which are applied to some input in an effort to produce the desired results. This approach to problem solving has been enforced by the traditional languages of C, Pascal, and Fortran. In this paper we describe the Interactive Visualization Tool (IVT) developed for the HICOR interactive parallelizing compiler. In particular, the IVT allows users to interactively manipulate a graphical representation of the program to be parallelized. Parameters describing the target architecture may be manipulated interactively to create what-if scenarios for architectural simulation.