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
Subject-Oriented Data Retrieval and Analysis on Sina Weibo:
, In:
2019 IEEE International Conference on Big Data (Big Data)
,
Lo, Dan Chia-Tien
;
Garnder, Charles
;
Paschos, Pascal
. - p. 4431-4434 , 2019
Link:
https://doi.org/10.1109/BigData47090.2019.9006569
RT T1
2019 IEEE International Conference on Big Data (Big Data)
: T1
Subject-Oriented Data Retrieval and Analysis on Sina Weibo
UL https://suche.suub.uni-bremen.de/peid=ieee-9006569&Exemplar=1&LAN=DE A1 Lo, Dan Chia-Tien A1 Garnder, Charles A1 Paschos, Pascal A1 Ng, Chung YR 2019 K1 Social network services K1 Crawlers K1 Tag clouds K1 Data mining K1 Clustering algorithms K1 Big Data K1 Data analysis K1 social media K1 mining K1 extraction K1 Weibo K1 analytics SP 4431 OP 4434 LK http://dx.doi.org/https://doi.org/10.1109/BigData47090.2019.9006569 DO https://doi.org/10.1109/BigData47090.2019.9006569 SF ELIB - SuUB Bremen
Export
RefWorks (nur Desktop-Version!)
Flow
(Zuerst in
Flow
einloggen, dann importieren)