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CoCo: A Visual Analytics Tool for Comparing Cohorts of Event Sequences

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Overview

CoCo is a visual analytics tool that enables users to compare two sets of temporal sequence data. It combines automated statistical tests with user-guidance to enable insights, hypothesis generation, and much more. Users see statistics about their dataset, event-level statistics, and a menu of metrics. CoCo displays significance tests in a unified form for measures such as prevalence and duration of gaps.

Demos, papers, and other information about Coco: http://hcil.umd.edu/coco/ 

 

CoCo is available for Academic/Non-profit and Commercial use licensing. Please contact umventuresstore@umd.edu for more info.

Contact Info

UM Ventures
0134 Lee Building
7809 Regents Drive
College Park, MD 20742
Email: umdtechtransfer@umd.edu
Phone: (301) 405-3947 | Fax: (301) 314-9502