The Efficient Way of Detecting Anomalies in Large Scale Streaming Data

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Originalsprog	Engelsk
Tidsskrift	University of Sindh Journal of Information and Communication Technology (USJICT)
Vol/bind	2
Udgave nummer	3
Sider (fra-til)	156-161
ISSN	2523-1235
Status	Udgivet - 2018

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@inproceedings{7ad7d58be1ce4ef7b5d0c4e7977b961c,

title = "The Efficient Way of Detecting Anomalies in Large Scale Streaming Data",

author = "Lighari, {Sheeraz Niaz} and Hussain, {Dil muhammed Akbar}",

year = "2018",

language = "English",

volume = "2",

pages = "156--161",

journal = "University of Sindh Journal of Information and Communication Technology (USJICT)",

issn = "2523-1235",

number = "3",

}

TY - GEN

T1 - The Efficient Way of Detecting Anomalies in Large Scale Streaming Data

AU - Lighari, Sheeraz Niaz

AU - Hussain, Dil muhammed Akbar

PY - 2018

Y1 - 2018

M3 - Conference article in Journal

SN - 2523-1235

VL - 2

SP - 156

EP - 161

JO - University of Sindh Journal of Information and Communication Technology (USJICT)

JF - University of Sindh Journal of Information and Communication Technology (USJICT)

IS - 3

ER -