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2020 | OriginalPaper | Chapter

Code Profiling Analysis of Rough Set Theory on DSP and Embedded Processors for IoT Application

Authors : Vanita Agarwal, Rajendrakumar A. Patil, Jyoti Adwani

Published in: Advances in Data and Information Sciences

Publisher: Springer Singapore

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Abstract

Rough set theory is a powerful artificial intelligence based tool used for data analysis and mining inconsistent information systems. In the presence of inconsistent, incomplete, imprecise, or vague data, normal statistical based data analytic techniques lag behind. This paper discusses the code profiling for rough set theory on DSP and ARM processors. This work was undertaken to understand the performance of rough set theory on existing processors for mining/analyzing inconsistent nature of IoT application at fog/edge interface.

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Metadata
Title
Code Profiling Analysis of Rough Set Theory on DSP and Embedded Processors for IoT Application
Authors
Vanita Agarwal
Rajendrakumar A. Patil
Jyoti Adwani
Copyright Year
2020
Publisher
Springer Singapore
DOI
https://doi.org/10.1007/978-981-15-0694-9_28