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
Customer Churn Combination Prediction Model Based on Convol..:
, In:
Proceedings of the 2022 5th International Conference on Algorithms, Computing and Artificial Intelligence
,
Li, Shiyang
;
Xia, Guoen
;
Zhang, Xianquan
- p. 1-6 , 2022
Link:
https://dl.acm.org/doi/10.1145/3579654.3579666
RT T1
Proceedings of the 2022 5th International Conference on Algorithms, Computing and Artificial Intelligence
: T1
Customer Churn Combination Prediction Model Based on Convolutional Neural Network and Gradient Boosting Decision Tree
UL https://suche.suub.uni-bremen.de/peid=acm-3579666&Exemplar=1&LAN=DE A1 Li, Shiyang A1 Xia, Guoen A1 Zhang, Xianquan PB ACM YR 2022 K1 combination model K1 customer churn prediction K1 gradient boosting decision tree K1 one-dimensional convolutional neural network K1 Computing methodologies K1 Machine learning K1 Learning paradigms K1 Supervised learning K1 Supervised learning by classification K1 Machine learning approaches K1 Neural networks SP 1 OP 6 LK http://dx.doi.org/https://dl.acm.org/doi/10.1145/3579654.3579666 DO https://dl.acm.org/doi/10.1145/3579654.3579666 SF ELIB - SuUB Bremen
Export
RefWorks (nur Desktop-Version!)
Flow
(Zuerst in
Flow
einloggen, dann importieren)