Mathieu Guillame-BertPhD Student - INRIA Rhône Alpes
655 Avenue de l'Europe
38334 Montbonnot - St Ismier
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This page presents some of my softwares.- Event Viewer : a Symbolic Time Sequences visualiser
There are two types of input files: The layoutes files that define the "view" to display, and the data files. The layoutes files use the xml syntax. Simples examples are given with the Event Viewer sofware. The syntax of the data file is given here.
The package contains a sample of data to visualise. This sample is based on the "Home activities dataset" by Tim van Kasteren, Athanasios Noulas, Gwenn Englebienne and Ben Krose presented in "Accurate Activity Recognition in a Home Setting", and on the learning algorithm presented in "Temporal Data Mining for Symbolic Time Sequences: Temporal Tree Associate Rules".
The package contains the binary of the temporal learning algorithm described in the article "New Approach on Temporal Data Mining for Symbolic Time Sequences: Temporal Tree Associate Rules". This algorithm extracts Temporal association rules from a Symbolic time sequences. The rules can be printed into html files, exported into xml files, applied and evaluated on other datasets. The package also contains an example of dataset to use with the algorithm.
The package also contains an sample dataset (the 20th part of the Computer Generated Dataset), and an example of configuration to extract and display patterns fro this dataset.
Mathieu Guillame-Bert -- Web site created the 13 April 2011