I agree that this site is using cookies. You can find further informations
here
.
X
Login
Merkliste (
0
)
Home
About us
Home About us
Our history
Profile
Press & public relations
Friends
The library in figures
Exhibitions
Projects
Training, internships, careers
Films
Services & Information
Home Services & Information
Lending and interlibrary loans
Returns and renewals
Training and library tours
My Account
Library cards
New to the library?
Download Information
Opening hours
Learning spaces
PC, WLAN, copy, scan and print
Catalogs and collections
Home Catalogs and Collections
Rare books and manuscripts
Digital collections
Subject Areas
Our sites
Home Our sites
Central Library
Law Library (Juridicum)
BB Business and Economics (BB11)
BB Physics and Electrical Engineering
TB Engineering and Social Sciences
TB Economics and Nautical Sciences
TB Music
TB Art & Design
TB Bremerhaven
Contact the library
Home Contact the library
Staff Directory
Open access & publishing
Home Open access & publishing
Reference management: Citavi & RefWorks
Publishing documents
Open Access in Bremen
zur Desktop-Version
Toggle navigation
Merkliste
1 Ergebnisse
1
Fake Product Review Detection Using Machine Learning:
, In:
2022 IEEE World AI IoT Congress (AIIoT)
,
Hassan Sohan, Md Mahadi
;
Khan, Mohammad Monirujjaman
;
Nanda, Ipseeta
. - p. 527-532 , 2022
Link:
https://doi.org/10.1109/AIIoT54504.2022.9817271
RT T1
2022 IEEE World AI IoT Congress (AIIoT)
: T1
Fake Product Review Detection Using Machine Learning
UL https://suche.suub.uni-bremen.de/peid=ieee-9817271&Exemplar=1&LAN=DE A1 Hassan Sohan, Md Mahadi A1 Khan, Mohammad Monirujjaman A1 Nanda, Ipseeta A1 Dey, Rajesh YR 2022 K1 Random forests K1 Classification algorithms K1 Training K1 Behavioral sciences K1 Feature extraction K1 Testing K1 Machine learning K1 machine learning K1 fake product review K1 random forest SP 527 OP 532 LK http://dx.doi.org/https://doi.org/10.1109/AIIoT54504.2022.9817271 DO https://doi.org/10.1109/AIIoT54504.2022.9817271 SF ELIB - SuUB Bremen
Export
RefWorks (nur Desktop-Version!)
Flow
(Zuerst in
Flow
einloggen, dann importieren)