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
Differentially Private k-Nearest Neighbor Missing Data Impu..:
Clifton, Chris
;
Hanson, Eric J.
;
Merrill, Keith
.
ACM Transactions on Privacy and Security. 25 (2022) 3 - p. 1-23 , 2022
Link:
https://dl.acm.org/doi/10.1145/3507952
RT Journal T1
Differentially Private k-Nearest Neighbor Missing Data Imputation
UL https://suche.suub.uni-bremen.de/peid=acm-3507952&Exemplar=1&LAN=DE A1 Clifton, Chris A1 Hanson, Eric J. A1 Merrill, Keith A1 Merrill, Shawn PB ACM YR 2022 SN 2471-2566 SN 2471-2574 K1 Differential privacy K1 statistical disclosure limitation K1 private data cleaning K1 smooth sensitivity K1 Security and privacy K1 Data anonymization and sanitization K1 Information systems K1 Data cleaning JF ACM Transactions on Privacy and Security VO 25 IS 3 SP 1 OP 23 LK http://dx.doi.org/https://dl.acm.org/doi/10.1145/3507952 DO https://dl.acm.org/doi/10.1145/3507952 SF ELIB - SuUB Bremen
Export
RefWorks (nur Desktop-Version!)
Flow
(Zuerst in
Flow
einloggen, dann importieren)