Skip to main content

Carlea Holl-Jensen||cholljen@umd.edu


HCIL-2014-27

Shneiderman, B., Plaisant, C. (December 2014)
Sharpening Analytic Focus to Cope with Big Data Volume and Variety: Ten strategies for data focusing with temporal event sequences
IEEE Computer Graphics and Applications, 35, 3 (2015) 10-14
HCIL-2014-27

A growing number of visual analytic and statistical software tools are being built to deal with temporal event sequences. These tools often have difficulty in dealing with two problems: the volume of records (the number of records may grow to hundreds of millions, making it difficult to load or apply operations to the data) and the variety of patterns (longs records are unique and the variety makes it difficult to see global patterns such as relationships, clusters or gaps, as well as to identify errors or anomalies). We propose a taxonomy of analytic focusing strategies for temporal event sequences, based on our experience working with dozens of case studies using EventFlow. Most strategies can lead to reduction in volume and variety simultaneously.



Computational and Data Journalism
More information

Tech Reports
Video Reports
Annual Symposium

News
Seminars + Events
Calendar
HCIL Seminar Series
Annual Symposium
HCIL Service Grants
Events Archives
Awards
HCIL Conference Travel Award
Job Openings
For the Press
HCIL Overview
Become a Member
Collaborators
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
Students
Ph.D. Alumni
Past Members
Research Areas
Communities
Design Process
Digital Libraries
Education
Physical Devices
Public Access
Visualization
Research Histories
Faculty Listed by Research
Project Highlights
Project Screenshots
Publications and TRs
Videos
Books
Products
Presentations
Studying HCI
Masters in HCI
PhD in HCI
Visiting Scholars
Class Websites
Sponsor our Research
Sponsor our Annual Symposium
Active Sponsorship
Industrial Visitors

Web Accessibility