The ability to contain, analyze, and understand the increasing amount of big data in the world is a growing challenge. The goal of this project is aiding analysts in finding similar patterns in time series with gaps, called a Time Series Compound (TSC). The project involves constructing a query processing system which finds TSCs that most closely match a given TSC query. This project demonstrates the use of TSCs and how leveraging them can benefit industries who rely on time series.

• This report represents the work of one or more WPI undergraduate students submitted to the faculty as evidence of completion of a degree requirement. WPI routinely publishes these reports on its website without editorial or peer review.

Creator

• Lessard, Philippe
• Weiler, Trevor Douglas
• DeRusha, Andrew Charles
• Kim, Skyler N.

Publisher

• Worcester Polytechnic Institute

Identifier

• E-project-040620-171851

Advisor

• Eltabakh, Mohamed Y.
• Rundensteiner, Elke A.

Year

• 2020

Date created

• 2020-04-06

Resource type

• Major Qualifying Project

Major

• Computer Science

Rights statement

• In Copyright