Paper Title

OUTLIER DETECTION USING IOT AND MACHINE LEARNING

Authors

Ms. Deore Priyanka Devidas , Ms. Devhadrao Gayatri Vilas , Ms. Kadam Monali Bhagwan , Ms. Bornare Apoorva Raghunath , Prof.Chandgude A.S

Keywords

Machine Learning, Processing, Dataset, Support Vector Machine, Database, IOT.

Abstract

Outliers once upon a time regarded as noisy data in statistics, has turned out to be an important problem which is being researched in diverse fields of research and application domains. Many outlier detection techniques have been developed specific to certain application domains, while some techniques are more generic. Some application domains are being researched in strict confidentiality such as research on crime and terrorist activities. The techniques and results of such techniques are not readily forthcoming. A number of surveys, research and review articles and books cover outlier detection techniques in machine learning and statistical domains individually in great details. In this paper we make an attempt to bring together various outlier detection techniques, in a structured and generic description. With this exercise, we hope to attain a better understanding of the different directions of research on outlier analysis for ourselves as well as for beginners in this research field who could then pick up the links to different areas of applications in details.

How To Cite

"OUTLIER DETECTION USING IOT AND MACHINE LEARNING", IJSDR - International Journal of Scientific Development and Research (www.IJSDR.org), ISSN:2455-2631, Vol.7, Issue 5, page no.55 - 58, May-2022, Available :https://ijsdr.org/papers/IJSDR2205010.pdf

Issue

Volume 7 Issue 5, May-2022

Pages : 55 - 58

Other Publication Details

Paper Reg. ID: IJSDR_200341

Published Paper Id: IJSDR2205010

Downloads: 000347178

Research Area: Engineering

Country: -, -, India

Published Paper PDF: https://ijsdr.org/papers/IJSDR2205010

Published Paper URL: https://ijsdr.org/viewpaperforall?paper=IJSDR2205010

About Publisher

ISSN: 2455-2631 | IMPACT FACTOR: 9.15 Calculated By Google Scholar | ESTD YEAR: 2016

An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 9.15 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator

Publisher: IJSDR(IJ Publication) Janvi Wave

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