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
Sketching Multidimensional Time Series for Fast Discord Min..:
, In:
2023 IEEE International Conference on Big Data (BigData)
,
Yeh, Chin-Chia Michael
;
Zheng, Yan
;
Pan, Menghai
... - p. 443-452 , 2023
Link:
https://doi.org/10.1109/BigData59044.2023.10386363
RT T1
2023 IEEE International Conference on Big Data (BigData)
: T1
Sketching Multidimensional Time Series for Fast Discord Mining
UL https://suche.suub.uni-bremen.de/peid=ieee-10386363&Exemplar=1&LAN=DE A1 Yeh, Chin-Chia Michael A1 Zheng, Yan A1 Pan, Menghai A1 Chen, Huiyuan A1 Zhuang, Zhongfang A1 Wang, Junpeng A1 Wang, Liang A1 Zhang, Wei A1 Phillips, Jeff M. A1 Keogh, Eamonn YR 2023 K1 Runtime K1 Heuristic algorithms K1 Scalability K1 Time series analysis K1 Transportation K1 Big Data K1 Throughput K1 multidimensional time series K1 discord mining K1 similarity join SP 443 OP 452 LK http://dx.doi.org/https://doi.org/10.1109/BigData59044.2023.10386363 DO https://doi.org/10.1109/BigData59044.2023.10386363 SF ELIB - SuUB Bremen
Export
RefWorks (nur Desktop-Version!)
Flow
(Zuerst in
Flow
einloggen, dann importieren)