Anomaly Detection in Wireless Sensor Networks Data by Using Histogram Based Outlier Score Method<bold> </bold>

dc.contributor.author	Kalayci, I.
dc.contributor.author	Ercan, T.
dc.date.accessioned	2021-01-25T19:33:07Z
dc.date.available	2021-01-25T19:33:07Z
dc.date.issued	2018
dc.identifier.uri	https://dspace.yasar.edu.tr/xmlui/handle/20.500.12742/7569
dc.description.abstract	Data anomaly detection in wireless sensor networks, which is one of the important technologies and study areas, is a method that enhances data quality and data reliability. Besides data enhancing methods such as estimating missing data, deduplication, noi
dc.language.iso	Turkish
dc.publisher	IEEE
dc.title	Anomaly Detection in Wireless Sensor Networks Data by Using Histogram Based Outlier Score Method<bold> </bold>
dc.type	Proceedings Paper
dc.relation.firstpage	337
dc.relation.lastpage	342
dc.description.woscategory	Computer Science, Interdisciplinary Applications; Computer Science, Theory & Methods
dc.description.wosresearcharea	Computer Science
dc.identifier.wosid	WOS:000467794200061
dc.identifier.ctitle	2nd International Symposium on Multidisciplinary Studies and Innovative Technologies (ISMSIT)
dc.identifier.cdate	OCT 19-21, 2018

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