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
Optimized Signature Selection for Efficient String Similari..:
Taegyoung Lee
;
Tae-Sun Chung
;
Jongik Kim
https://ieeexplore.ieee.org/document/9099253/. , 2020
Link:
https://doi.org/10.1109/ACCESS.2020.2996945
RT Journal T1
Optimized Signature Selection for Efficient String Similarity Search
UL https://suche.suub.uni-bremen.de/peid=base-ftdoajarticles:oai:doaj.org_article:4f82ae9831ce44e0aea3789c5a6c6893&Exemplar=1&LAN=DE A1 Taegyoung Lee A1 Tae-Sun Chung A1 Jongik Kim PB IEEE YR 2020 K1 Edit distance K1 hierarchical tree index K1 optimized signature selection K1 partition signature scheme K1 string similarity search K1 Electrical engineering. Electronics. Nuclear engineering K1 TK1-9971 JF https://ieeexplore.ieee.org/document/9099253/ LK http://dx.doi.org/https://doi.org/10.1109/ACCESS.2020.2996945 DO https://doi.org/10.1109/ACCESS.2020.2996945 SF ELIB - SuUB Bremen
Export
RefWorks (nur Desktop-Version!)
Flow
(Zuerst in
Flow
einloggen, dann importieren)