Scalable and imbalance-resistant machine learning models for anti-money laundering : a two-layered approach
author
Tertychnyi, Pavlo
Slobozhan, Ivan
Ollikainen, Madis
Dumas, Marlon
statement of authorship
Pavlo Tertychnyi, Ivan Slobozhan, Madis Ollikainen and Marlon Dumas
source
Enterprise Applications, Markets and Services in the Finance Industry : 10th International Workshop, FinanceCom 2020, Helsinki, Finland, August 18, 2020, Revised Selected Papers
location of publication
Cham
publisher
year of publication
pages
p. 43-58
series
Lecture notes in business information processing ; 401
conference name, date
10th International Workshop on Enterprise Applications, Markets and Services in the Finance Industry, FinanceCom 2020, 18 August 2020
conference location
Helsinki, Finland
ISSN
1865-1348
ISBN
978-303064465-9
notes
Bibliogr.: 20 ref
scientific publication
teaduspublikatsioon
TTÜ department
language
inglise
subject term
keyword
anti-money laundering
category (general)
category (sub)
Tertychnyi, P., Slobozhan, I., Ollikainen, M., Dumas, M. Scalable and imbalance-resistant machine learning models for anti-money laundering : a two-layered approach // Enterprise Applications, Markets and Services in the Finance Industry : 10th International Workshop, FinanceCom 2020, Helsinki, Finland, August 18, 2020, Revised Selected Papers. Cham : Springer, 2020. p. 43-58. (Lecture notes in business information processing ; 401).