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Reseach Article

Outlier Detection in RFID Datasets in Supply Chain Process: A Review

by Meghna Sharma, Manjeet Singh
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 65 - Number 25
Year of Publication: 2013
Authors: Meghna Sharma, Manjeet Singh
10.5120/11277-6422

Meghna Sharma, Manjeet Singh . Outlier Detection in RFID Datasets in Supply Chain Process: A Review. International Journal of Computer Applications. 65, 25 ( March 2013), 47-51. DOI=10.5120/11277-6422

@article{ 10.5120/11277-6422,
author = { Meghna Sharma, Manjeet Singh },
title = { Outlier Detection in RFID Datasets in Supply Chain Process: A Review },
journal = { International Journal of Computer Applications },
issue_date = { March 2013 },
volume = { 65 },
number = { 25 },
month = { March },
year = { 2013 },
issn = { 0975-8887 },
pages = { 47-51 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume65/number25/11277-6422/ },
doi = { 10.5120/11277-6422 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T21:20:56.749177+05:30
%A Meghna Sharma
%A Manjeet Singh
%T Outlier Detection in RFID Datasets in Supply Chain Process: A Review
%J International Journal of Computer Applications
%@ 0975-8887
%V 65
%N 25
%P 47-51
%D 2013
%I Foundation of Computer Science (FCS), NY, USA
Abstract

Outlier detection has been a very important concept in the realm of data analysis. Most real-world databases include a certain amount of exceptional values, generally termed as "outliers". The finding of outliers is important for improving the quality of original data and for reducing the impact of outlying values in the process of knowledge discovery in databases. . Outlier detection has been researched within various application domains and knowledge disciplines. Supply Chain Process is one of the popular and important domains. The implementation of RFID leads to improved visibility in supply chains. However, as a result of the increased collection of data and data granularity, new data management challenges are faced by supply chain participants new techniques for outlier detection are experimented. In this Paper the problem of detecting outliers in RFID readings stream. is addressed and considering the stream based ,spatio-temporal nature of RFID datasets, density based outlier detection technique is concluded to be the best among all the existing approaches. for outlier detection

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Index Terms

Computer Science
Information Sciences

Keywords

Outlier Detection RFID Supply chain process Density Based Data Mining