CooccurViewer

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Alper Sarikaya
Jorge Dinis
David O'Connor

The project seeks to expose correlation of observations made between any pair of events in a data sequence. In this project, we present two methods for identifying interesting co-occurrences (see the manuscript for a detailed discussion).

A demo is availble of these two approaches through the project website.

Release Date:
June, 2016
Status:
Availability:
Data type:
Techniques:
2D
Software:
Web based
Technology:
HTML, CSS, JavaScript
Platform:
Linux, Mac OSX, Windows
Requirements:

Project development

Institution: Department of Computer Sciences at the University of Wisconsin—Madison