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
Delog: A High-Performance Privacy Preserving Log Filtering ..:
, In:
2019 IEEE International Conference on Big Data (Big Data)
,
Agrawal, Amey
;
Dixit, Abhishek
;
Shettar, Namrata A
... - p. 1739-1748 , 2019
Link:
https://doi.org/10.1109/BigData47090.2019.9006218
RT T1
2019 IEEE International Conference on Big Data (Big Data)
: T1
Delog: A High-Performance Privacy Preserving Log Filtering Framework
UL https://suche.suub.uni-bremen.de/peid=ieee-9006218&Exemplar=1&LAN=DE A1 Agrawal, Amey A1 Dixit, Abhishek A1 Shettar, Namrata A A1 Kapadia, Darshil A1 Agrawal, Vikram A1 Gupta, Rajat A1 Karlupia, Rohit YR 2019 K1 Data privacy K1 Sparks K1 Data preprocessing K1 Training K1 Pattern matching K1 Navigation K1 Distributed computing K1 Log parsing K1 Locality Sensitive Hashing K1 Multiple Sequence Alignment K1 Bloom Filter K1 Privacy Preserving SP 1739 OP 1748 LK http://dx.doi.org/https://doi.org/10.1109/BigData47090.2019.9006218 DO https://doi.org/10.1109/BigData47090.2019.9006218 SF ELIB - SuUB Bremen
Export
RefWorks (nur Desktop-Version!)
Flow
(Zuerst in
Flow
einloggen, dann importieren)