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Design and Development of a framework for an anomaly detection in onlne social networks Supervised by Mohammad Haroon

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Material type: Text

TextLanguage: English Publication details: Lucknow Integral University 05-07-2023Description: 161p. ;29cmSubject(s):

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Holdings
Item type	Current library	Collection	Call number	Status	Notes	Date due	Barcode
THESIS	CENTRAL LIBRARY	COMPUTERSCIENCE	004 KHA/D (Browse shelf(Opens below))	Not For Loan	Computer Science		T00594

	No cover image available	No cover image available	No cover image available	No cover image available	No cover image available	Next
	004 GUP/C Cluster- Based Approach for Auto-Scalable IaaS Provisioning in Geographically Distributed Data Centers	004 KHA/D Design and Development of a framework for an anomaly detection in onlne social networks	004 SHA/C A conceptual framework for efficient fault Tolerance in cloud computing	004.072 AKB/S Service Mechanism to Reduce Query Latency in Ivanet: an Approach to Improve Quality of Service in Ivanet	004.072 ANU/D Deep Learning Based Lung Cancer Detection using Monomodal Data	Next

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