Zobrazeno 1 - 5
of 5
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