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A Web-Based Micro-service Architecture for Comparing Parallel Implementations of Dissimilarity Measures

  • 2019
  • OriginalPaper
  • Chapter
Published in:
Authors
Daniel-Stiven Valencia-Hernández
Ana-Lorena Uribe-Hurtado
Mauricio Orozco-Alzate
Published in
Distributed Computing and Artificial Intelligence, 15th International Conference
Publisher
Springer International Publishing

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Abstract

The performance of an application can be significantly improved by using parallelization, as well as by defining micro-services which allow the distribution of the work into several independent tasks. In this paper, we show how a micro-service architecture can be used for developing an efficient and flexible application for the nearest neighbor classification problem. Several dissimilarity measures are compared, in terms of both accuracy and computational time, for sequential as well parallel executions. In addition, a web-based interface was developed in order to facilitate the interaction with the user and easily monitoring the progress of the experiments.
A.-L. Uribe-Hurtado—Estudiante del Doctorado en Ingeniería, Industria y Organizaciones - Universidad Nacional de Colombia - Sede Manizales.

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previous chapter Estimating the Purpose of Discard in Mahjong to Support Learning for Beginners
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Title
A Web-Based Micro-service Architecture for Comparing Parallel Implementations of Dissimilarity Measures
Authors
Daniel-Stiven Valencia-Hernández
Ana-Lorena Uribe-Hurtado
Mauricio Orozco-Alzate
Copyright Year
2019
Publisher
Springer International Publishing
Book
Distributed Computing and Artificial Intelligence, 15th International Conference

Print ISBN: 978-3-319-94648-1

Electronic ISBN: 978-3-319-94649-8

Copyright Year: 2019

DOI
https://doi.org/10.1007/978-3-319-94649-8_20
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