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

Vanita Agarwal,Rajendrakumar A Patil,Jyoti Adwani

doi:10.1007/978-981-15-0694-9_28

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

Vanita Agarwal, Rajendrakumar A Patil + Show 1 more

https://doi.org/10.1007/978-981-15-0694-9_28

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Publication Date: Jan 1, 2020

Citations: 1

Affiliation: Savitribai Phule Pune University, Visvesvaraya National Institute of Technology

#Rough Set #Vague Data + Show 8 more

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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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