Scalable Time Series Indexing: Analyzing Time Series Compound Queries Public
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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.
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Permanent link to this page: https://digital.wpi.edu/show/8336h4621