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
Forecasting the Trend of NASDAQ Stock Based on Machine Lear..:
, In:
2022 2nd International Conference on Big Data, Artificial Intelligence and Risk Management (ICBAR)
,
Qiu, Shibo
;
Jia, Zhou
- p. 74-78 , 2022
Link:
https://doi.org/10.1109/ICBAR58199.2022.00022
RT T1
2022 2nd International Conference on Big Data, Artificial Intelligence and Risk Management (ICBAR)
: T1
Forecasting the Trend of NASDAQ Stock Based on Machine Learning and Tween Analysis
UL https://suche.suub.uni-bremen.de/peid=ieee-10108281&Exemplar=1&LAN=DE A1 Qiu, Shibo A1 Jia, Zhou YR 2022 K1 Training K1 Correlation K1 Social networking (online) K1 Blogs K1 Companies K1 Market research K1 Prediction algorithms K1 Stock price trend K1 random forest classification K1 tweet analysis K1 Twitter K1 tweet crawler SP 74 OP 78 LK http://dx.doi.org/https://doi.org/10.1109/ICBAR58199.2022.00022 DO https://doi.org/10.1109/ICBAR58199.2022.00022 SF ELIB - SuUB Bremen
Export
RefWorks (nur Desktop-Version!)
Flow
(Zuerst in
Flow
einloggen, dann importieren)