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Detection of Anomalies in Social and Information Networks Using Their Structures and Features (Record no. 59855)

MARC details
000 -LEADER
fixed length control field	00559nam a22001577a 4500
005 - DATE AND TIME OF LATEST TRANSACTION
control field	20221228232638.0
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION
fixed length control field	221228b \|\|\|\|\|\|\|\| \|\|\|\| 00\| 0 eng d
100 ## - MAIN ENTRY--PERSONAL NAME
Personal name	Monika Bansal
245 ## - TITLE STATEMENT
Title	Detection of Anomalies in Social and Information Networks Using Their Structures and Features
260 ## - PUBLICATION, DISTRIBUTION, ETC. (IMPRINT)
Place of publication, distribution, etc	"Shiv Nadar University, Dadri"
Name of publisher, distributor, etc	"Computer Science and Engineering, School of Engineering"
Date of publication, distribution, etc	2022
300 ## - PHYSICAL DESCRIPTION
Extent	"xvi, 167p."
Other physical details	26cm
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element	Computer Science
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element	Engineering
700 ## - ADDED ENTRY--PERSONAL NAME
Personal name	Under Supervision of Dr. Dolly Sharma
942 ## - ADDED ENTRY ELEMENTS (KOHA)
Koha item type	Ph.D. Thesis

Holdings
Withdrawn status	Lost status	Source of classification or shelving scheme	Damaged status	Not for loan	Home library	Current library	Date acquired	Barcode	Date last seen	Uniform Resource Identifier	Price effective from	Koha item type
		Dewey Decimal Classification		Not For Loan	SNU LIBRARY	SNU LIBRARY	28/12/2022	TH838	28/12/2022	http://dspace.snu.edu.in:8080/jspui/handle/123456789/799	28/12/2022	Ph.D. Thesis