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Applying Machine Learning to Imbalanced Sensor Data

by Sachin Mallya, Ajeet Kumar Rai
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 181 - Number 34
Year of Publication: 2018
Authors: Sachin Mallya, Ajeet Kumar Rai
10.5120/ijca2018918262

Sachin Mallya, Ajeet Kumar Rai . Applying Machine Learning to Imbalanced Sensor Data. International Journal of Computer Applications. 181, 34 ( Dec 2018), 30-35. DOI=10.5120/ijca2018918262

@article{ 10.5120/ijca2018918262,
author = { Sachin Mallya, Ajeet Kumar Rai },
title = { Applying Machine Learning to Imbalanced Sensor Data },
journal = { International Journal of Computer Applications },
issue_date = { Dec 2018 },
volume = { 181 },
number = { 34 },
month = { Dec },
year = { 2018 },
issn = { 0975-8887 },
pages = { 30-35 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume181/number34/30212-2018918262/ },
doi = { 10.5120/ijca2018918262 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-07T01:08:08.825724+05:30
%A Sachin Mallya
%A Ajeet Kumar Rai
%T Applying Machine Learning to Imbalanced Sensor Data
%J International Journal of Computer Applications
%@ 0975-8887
%V 181
%N 34
%P 30-35
%D 2018
%I Foundation of Computer Science (FCS), NY, USA
Abstract

In this paper, various statistical methods useful in analyzing data generated by power stations are presented. Power stations like hydroelectric, nuclear or thermal etc. have a number of machines that work together and produce energy. Data collected from the sensors of these machines is used for measuring efficiency and performance of particular machines.

References
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  12. Devinder Kaur, Rajiv Bedi and Dr. Sunil Kumar Gupta, “Implementation of Enhanced Decision Tree Algorithm on Traffic Accident Analysis”, (IJSRT), ISSN: 2379- 3686, 15th September 2015.
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Index Terms

Computer Science
Information Sciences

Keywords

Classification Machine Learning Confidence Interval Imbalanced data SMOTE Cost Matrix ROSE Precision AUC.

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