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WaveAnalizer is a tool, that extracts all the data from a wave-file to a readable ascii-textfile. Now one can analyze this data with gnuplot or other programs.
Data mining tool for sequences (e.g. trajectories on a map, visited web pages, etc.) that creates a succinct description of the sequences, given a taxonomy (e.g. regions and sub-regions in the map, categories and sub-categories of pages, etc.).
NetMate Meter is a flexible and extensible tool for network measurement. It can be used for accounting, delay/loss measurement, packet capturing. It supports dynamic loadable packet processing and data export modules and a flexible packet classifier.
The ProM Import Framework allows to extract process enactment event logs from a set of information systems. These can be exported in the MXML format, which is the standard event log data format for Process Mining analysis techniques.
This project aims to develop a meta-data and associated tools for anomaly detection algorithms. It will be useful to benchmark AD algorithms, annotate existing datasets with AD systems, and communicate their results via public data-set repositories.
Logpp is a tool for preprocessing event logs and feeding relevant data to other programs for storing or in-depth analysis. Logpp reads lines appended to input files, matches the lines with patterns, and writes the results to given destinations.
Comprehensive & high performance data distribution &transformation system. Features a simple, user-friendly event driven scripting interface transparently generates & execs highly efficient Perl/C code. Uses:ETL,datawarehousing,statistics,data-cleansing.
This is my Master Degree project, I am trying to improve the movie prediction by using machine learning techniques, for the Netflix data set. This project is done under guidance of Dr. Richard Maclin, at University of Minnesota Duluth.