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
Research Trend of Machine Learning for Big Data Application..:
, In:
2022 10th International Conference on Reliability, Infocom Technologies and Optimization (Trends and Future Directions) (ICRITO)
,
Gautam, Vinay
;
Rani, Jyoti
;
Vashisth, Abhishek
- p. 1-6 , 2022
Link:
https://doi.org/10.1109/ICRITO56286.2022.9965082
RT T1 <cTitle>2022 10th International Conference on Reliability, Infocom Technologies and Optimization (Trends and Future Directions) (ICRITO)</cTitle>: T1 <Title>Research Trend of Machine Learning for Big Data Application on Cloud</Title> UL https://suche.suub.uni-bremen.de/peid=ieee-9965082&Exemplar=1&LAN=DE A1 Gautam, Vinay A1 Rani, Jyoti A1 Vashisth, Abhishek YR 2022 K1 Cloud computing K1 Technological innovation K1 Machine learning K1 Big Data K1 Market research K1 Turning K1 Reliability K1 Cloud Computing K1 Hadoop K1 Map Reduce K1 virtualization SP 1 OP 6 LK http://dx.doi.org/https://doi.org/10.1109/ICRITO56286.2022.9965082 DO https://doi.org/10.1109/ICRITO56286.2022.9965082 SF ELIB - SuUB Bremen
Export
RefWorks (nur Desktop-Version!)
Flow
(Zuerst in
Flow
einloggen, dann importieren)
