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
UNSUPERVISED DISTANCE-BASED OUTLIER DETECTION IN HIGH DIMEN..:
Srujana, N
;
Srinivasa Rao, G
;
Sivaprasad, Dr. M. V
http://www.ijitr.com/index.php/ojs/article/view/968/pdf. , 2016
Link:
http://www.ijitr.com/index.php/ojs/article/view/968
RT Journal T1
UNSUPERVISED DISTANCE-BASED OUTLIER DETECTION IN HIGH DIMENSIONAL DATA
UL https://suche.suub.uni-bremen.de/peid=base-ftjijitr:oai:ojs.ijitr.com:article_968&Exemplar=1&LAN=DE A1 Srujana, N A1 Srinivasa Rao, G A1 Sivaprasad, Dr. M. V PB International Journal of Innovative Technology and Research YR 2016 K1 CSE K1 Anomaly K1 Hubness K1 High-Dimensional K1 Unsupervised K1 Nearest Neighbour K1 Anomaly-Detection K1 Anti-Hubs JF http://www.ijitr.com/index.php/ojs/article/view/968/pdf LK http://www.ijitr.com/index.php/ojs/article/view/968 DO http://www.ijitr.com/index.php/ojs/article/view/968 SF ELIB - SuUB Bremen
Export
RefWorks (nur Desktop-Version!)
Flow
(Zuerst in
Flow
einloggen, dann importieren)