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2017 | OriginalPaper | Chapter

MVSC-Bench: A Tool to Benchmark Classification Methods for Multivariate Spatiotemporal Data

Authors : Siddhant Kulkarni, Farnoush Banaei-Kashani

Published in: Advances in Spatial and Temporal Databases

Publisher: Springer International Publishing

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Abstract

Applications focusing on analysis of multivariate spatiotemporal series (MVS) have proliferated over the past decade. Researchers in a wide array of domains ranging from action recognition to sports analytics have come forward with novel methods to classify this type of data, but well-defined benchmarks for comparative evaluation of the MVS classification methods are non-existent. We present MVSC-Bench, to target this gap.

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Metadata
Title
MVSC-Bench: A Tool to Benchmark Classification Methods for Multivariate Spatiotemporal Data
Authors
Siddhant Kulkarni
Farnoush Banaei-Kashani
Copyright Year
2017
Book
Advances in Spatial and Temporal Databases

Print ISBN: 978-3-319-64366-3

Electronic ISBN: 978-3-319-64367-0

Copyright Year: 2017

DOI
https://doi.org/10.1007/978-3-319-64367-0_32

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