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
Community detection and growth potential prediction from pa..:
, In:
Proceedings of the 10th International Conference on Management of Digital EcoSystems
,
Hentona, Asahi
;
Nonaka, Hirofumi
;
Nakai, Kensei
... - p. 204-211 , 2018
Link:
https://dl.acm.org/doi/10.1145/3281375.3281396
RT T1
Proceedings of the 10th International Conference on Management of Digital EcoSystems
: T1
Community detection and growth potential prediction from patent citation networks
UL https://suche.suub.uni-bremen.de/peid=acm-3281396&Exemplar=1&LAN=DE A1 Hentona, Asahi A1 Nonaka, Hirofumi A1 Nakai, Kensei A1 Sakumoto, Takeshi A1 Kataoka, Shotaro A1 Alemán Carreón, Elisa Claire A1 Mendoza España, Hugo Alberto A1 Hiraoka, Toru A1 Hirota, Masaharu PB ACM YR 2018 K1 ARIMA K1 LSTM K1 Node2vec K1 community detection K1 growth prediction K1 hawkes process K1 patent analysis K1 Mathematics of computing K1 Probability and statistics K1 Computing methodologies K1 Machine learning SP 204 OP 211 LK http://dx.doi.org/https://dl.acm.org/doi/10.1145/3281375.3281396 DO https://dl.acm.org/doi/10.1145/3281375.3281396 SF ELIB - SuUB Bremen
Export
RefWorks (nur Desktop-Version!)
Flow
(Zuerst in
Flow
einloggen, dann importieren)