Zobrazeno 1 - 10
of 10
pro vyhledávání: '"Julie Moeyersoms"'
Autor:
Julie Moeyersoms, Marija Stankova, David Martens, Sofie De Cnudde, Ellen Tobback, Vinayak Javaly
Publikováno v:
Journal of the Operational Research Society
Microfinance has known a large increase in popularity, yet the scoring of such credit still remains a difficult challenge. Credit scoring traditionally uses socio-demographic and credit data, which we complement in an innovative manner with data from
Autor:
Julie Moeyersoms, David Martens
Publikováno v:
Decision support systems
High-cardinality attributes are categorical attributes that contain a very large number of distinct values, like for example: family names, ZIP codes or bank account numbers. Within a predictive modeling setting, such features could be highly informa
Publikováno v:
Decision support systems
Bankruptcy prediction has been a popular and challenging research area for decades. Most prediction models are built using financial figures, stock market data and firm specific variables. We complement such traditional low-dimensional data with high
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::fd907286bedf1b3a88d2f6345abf4dd3
http://hdl.handle.net/10044/1/64798
http://hdl.handle.net/10044/1/64798
Publikováno v:
Journal of systems and software
Software fault and effort prediction are important tasks to minimize costs of a software project. In software effort prediction the aim is to forecast the effort needed to complete a software project, whereas software fault prediction tries to identi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::58b4b06c5799358fa0662b600b71ba34
https://lirias.kuleuven.be/handle/123456789/471625
https://lirias.kuleuven.be/handle/123456789/471625
Autor:
Marija Stankova, Julie Moeyersoms, Bart Minnaert, Foster Provost, Enric Junqué de Fortuny, David Martens
Publikováno v:
KDD
KDD 2014 : data science for social good : proceedings of the 20th ACM SIGKDD international conference on Knowledge discovery and data mining, August 24-27, 2014, New York City
KDD 2014 : data science for social good : proceedings of the 20th ACM SIGKDD international conference on Knowledge discovery and data mining, August 24-27, 2014, New York City
With the globalisation of the world's economies and ever-evolving financial structures, fraud has become one of the main dissipaters of government wealth and perhaps even a major contributor in the slowing down of economies in general. Although corpo
Publikováno v:
Journal of Multiple-Valued Logic & Soft Computing; 2024, Vol. 43 Issue 1/2, p23-37, 15p
Autor:
GHAFFARIAN, SEYED MOHAMMAD1 s.m.ghaffarian@aut.ac.ir, SHAHRIARI, HAMID REZA1 shahriari@aut.ac.ir
Publikováno v:
ACM Computing Surveys. Jul2018, Vol. 50 Issue 4, p56:1-56:36. 36p. 1 Diagram, 5 Charts, 1 Graph.
Publikováno v:
Journal of Risk & Financial Management; Mar2020, Vol. 13 Issue 3, p1-14, 14p, 1 Chart
Autor:
De Cnudde, Sofie, Moeyersoms, Julie, Stankova, Marija, Tobback, Ellen, Javaly, Vinayak, Martens, David
Publikováno v:
Journal of the Operational Research Society; Mar 2019, Vol. 70 Issue 3, p353-363, 11p
Publikováno v:
IEEE Transactions on Software Engineering; Jan2015, Vol. 41 Issue 1, p100-103, 4p