Zobrazeno 1 - 4
of 4
pro vyhledávání: '"Marija Stankova"'
Publikováno v:
Machine learning
Many real-world large datasets correspond to bipartite graph data settings—think for example of users rating movies or people visiting locations. Although there has been some prior work on data analysis with such bigraphs, no general network-orient
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
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
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