Machine learning and user social engagement based approaches for fake news/fake accounts detection in OSN (Record no. 4935)

MARC details
082 ## - UNIVERSAL DECIMAL CLASSIFICATION NUMBER
Classification number ENG
245 ## - TITLE STATEMENT
Title Machine learning and user social engagement based approaches for fake news/fake accounts detection in OSN
260 ## - PUBLICATION, DISTRIBUTION, ETC. (IMPRINT)
Place of publication, distribution, etc IIITDM Kancheepuram
Name of the department Computer Science
Year of awarded August 2023
300 ## - PHYSICAL DESCRIPTION
Extent 217p.
942 ## - ADDED ENTRY ELEMENTS (KOHA)
Koha item type Theses and Dissertations
100 ## - MAIN ENTRY--PERSONAL NAME
Personal name Santhosh Kumar Uppada
502 ## - Theses and Dissertation note
Theses and Dissertation note Machine Learning
520 ## - Abstract
Summary, etc Social network is a collection of social actors or firms that connect and share information. The utilization of online social networks as the primary source of information has increased, along with the availability of online social platforms that provide news from various sources.
653 ## - Keywords
terms Online social network; yellow journalism; association rule based classifier; user engagement patterns; error level analysis; fusion models; clickbait; epidemic models; stacking generalization; basic reproduction number
700 ## - ADDED ENTRY--PERSONAL NAME
Research Supervisor Dr. Sivaselvan
Holdings
Withdrawn status Lost status Source of classification or shelving scheme Damaged status Not for loan Collection code Home library Current library Shelving location Date acquired Total Checkouts Full call number Barcode Date last seen Price effective from Koha item type Price Currency Acq Date Vendor Order No Order Date Bill No Bill Date Mode Price In Rs Discount Mis Chrg Requested By Issue Coded location qualifier
    Universal Decimal Classification     Theses and Dissertation IIITDM Kancheepuram Library IIITDM Kancheepuram Library Theses and Dissertation 06/10/2023   004 SAN | TD00578 06/10/2023 06/10/2023 Theses and Dissertations                              

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