Faculty Advisor

Rundensteiner, Elke A.

Faculty Advisor

Sarkozy, Gabor N

Abstract

In this Interactive Qualifying Project we explore the social impact of supporting time series mining with visual technology. Based on literature research, we develop a visual analytics system for time series mining. Our system enables users to explore and interact with time series datasets, while also offering guidance for parameter tuning and for selecting similarity measures. Together the powerful interactions and the rich visual displays empower users to find insights in time series datasets. Built as a web service, the system increases accessibility to public datasets. Evaluation based on user studies with over 400 subjects as well as interviews with domain experts led to improvements in user experience and insight into the social impact of time series analysis.

Publisher

Worcester Polytechnic Institute

Date Accepted

March 2017

Project Type

Interactive Qualifying Project

Accessibility

Unrestricted

Advisor Department

Computer Science

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