Faculty Advisor

Eltabakh, Mohamed Y.

Faculty Advisor

Rundensteiner, Elke A.

Abstract

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.

Publisher

Worcester Polytechnic Institute

Date Accepted

2020-04-06

Major

Computer Science

Project Type

Major Qualifying Project

Accessibility

Unrestricted

Advisor Department

Computer Science

Share

COinS