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
Identifying IT Purchases Anomalies in the Brazilian Governm..:
, In:
2016 15th IEEE International Conference on Machine Learning and Applications (ICMLA)
,
Domingos, Silvio L.
;
Carvalho, Rommel N.
;
Carvalho, Ricardo S.
. - p. 722-727 , 2016
Link:
https://doi.org/10.1109/ICMLA.2016.0129
RT T1 <cTitle>2016 15th IEEE International Conference on Machine Learning and Applications (ICMLA)</cTitle>: T1 <Title>Identifying IT Purchases Anomalies in the Brazilian Government Procurement System Using Deep Learning</Title> UL https://suche.suub.uni-bremen.de/peid=ieee-7838233&Exemplar=1&LAN=DE A1 Domingos, Silvio L. A1 Carvalho, Rommel N. A1 Carvalho, Ricardo S. A1 Ramos, Guilherme N. YR 2016 K1 Government K1 Machine learning K1 Data mining K1 Data models K1 Water K1 Procurement K1 Predictive models K1 deep learning K1 auto-encoder K1 anomaly detection K1 data mining K1 machine learning K1 procurement system K1 corruption prevention K1 CRISP-DM K1 H2O SP 722 OP 727 LK http://dx.doi.org/https://doi.org/10.1109/ICMLA.2016.0129 DO https://doi.org/10.1109/ICMLA.2016.0129 SF ELIB - SuUB Bremen
Export
RefWorks (nur Desktop-Version!)
Flow
(Zuerst in
Flow
einloggen, dann importieren)
