Skip to main content

Carlea Holl-Jensen||


Malik, S., Du, F., Monroe, M., Onukwugha, E., Plaisant, C., Shneiderman, B. (May 2014)
A Visual Analytics Approach to Comparing Cohorts of Event Sequences
ABSTRACT ONLY -- To receive a personal copy of the full paper under review, please contact Catherine Plaisant.

A common type of data analysis is finding the differences and similarities between two datasets. With temporal event sequence data, this task is complex because of the variety of ways single events and sequences of events can differ between the two groups (or cohorts) of records: the structure of the event sequences (e.g., event order, co-occurring events, or frequencies of events), the attributes about the events and records (e.g., gender of a patient), or metrics about the timestamps themselves (e.g., duration of an event). Running statistical tests to cover all these cases and determining which results are significant becomes cumbersome. Current visual analytics tools for comparing groups of event sequences emphasize a purely statistical or purely visual approach for comparison. In this paper, we describe a taxonomy of metrics for comparing cohorts of temporal event sequences, including sequence, time, and attribute metrics. We also present a visual analytics tool, CoCo (for "Cohort Comparison"), which balances automated statistics with user-driven analysis to guide users to significant, distinguishing features between the cohorts. Lastly, we demonstrate the utility and impact of the visual analytics tool with a user study.

NodeXL: Network Overview for Discovery and Exploration in Excel Screenshot

NodeXL: Network Overview for Discovery and Exploration in Excel
More information

Tech Reports
Video Reports
Annual Symposium

Seminars + Events
HCIL Seminar Series
Annual Symposium
HCIL Service Grants
Events Archives
HCIL Conference Travel Award
Job Openings
For the Press
HCIL Overview
Become a Member
Collaborating Groups + People
Academic Visitors
Join our Mailing List
Contact Us
Visit Us
HCIL Store
Give the HCIL a Hand
HCIL T-shirts for Sale
Our Lighter Side
HCIL Memories Page
Faculty/ Staff
Ph.D. Alumni
Past Members
Research Areas
Design Process
Digital Libraries
Physical Devices
Public Access
Research Histories
Faculty Listed by Research
Project Highlights
Project Screenshots
Publications and TRs
Studying HCI
Masters in HCI
PhD in HCI
Visiting Scholars
Class Websites
Sponsor our Research
Sponsor our Annual Symposium
Active Sponsorship
Industrial Visitors