Project

Anomaly detection in foreign trade data using ma-chine learning

Publisher

Supervisor

Location

Greater Copenhagen area

Målet med specialeprojektet er at udvikle en model/algoritme som kan hjælpe med at screene data og udpege fejlbehæftede varepostlinjer af betydning for udenrigshandlen. 

Det tænkes at der bruges forskellige anomaly detection metoder fra machine learning litteraturen.

In collaboration with

Danmarks Statistisk

Requirements

Machine learning

Download Materials

Search in postings
Contact

Company / Organization

DTU Compute

Name

Line Katrine Harder Clemmensen

Position

Lektor

Mail

lkhc@dtu.dk

Supervisor info

MSc in Mathematical Modelling and Computation

Supervisor

Line Katrine Harder Clemmensen

Type

MSc thesis

Must be completed

02582 eller 02450

Technical University of Denmark

For almost two centuries DTU, Technical University of Denmark, has been dedicated to fulfilling the vision of H.C. Ørsted – the father of electromagnetism – who founded the university in 1829 to develop and create value using the natural sciences and the technical sciences to benefit society.


Today, DTU is ranked as one of the foremost technical universities in Europe, continues to set new records in the number of publications, and persistently increases and develops our partnerships with industry, and assignments accomplished by DTU’s public sector consultancy.

Find us here

Anker Engelunds Vej 1
Bygning 101A
2800 Kgs. Lyngby

Denmark



Tlf. (+45) 45 25 25 25

CVR-nr. 30 06 09 46

All vacant positions
 

loading..