عنوان انگلیسی مقاله:
Automatic detection of relationships between banking operations using machine learning
ترجمه فارسی عنوان مقاله:
تشخیص خودکار روابط بین عملیات بانکی با استفاده از یادگیری ماشین
Sciencedirect - Elsevier - Information Sciences, 485 (2019) 319-346: doi:10:1016/j:ins:2019:02:030
srael González-Carrasco∗, Jose Luis Jiménez-Márquez, Jose Luis López-Cuadrado, Belén Ruiz-Mezcua
Article history:Received 19 July 2018Revised 5 January 2019Accepted 11 February 2019Available online 12 February 2019Keywords: Machine learning Big dataPattern detection Business analytics FinanceIn their daily business, bank branches should register their operations with several sys- tems in order to share information with other branches and to have a central repository of records. In this way, information can be analysed and processed according to different requisites: fraud detection, accounting or legal requirements. Within this context, there is increasing use of big data and artiﬁcial intelligence techniques to improve customer ex- perience. Our research focuses on detecting matches between bank operation records by means of applied intelligence techniques in a big data environment and business intelli- gence analytics. The business analytics function allows relationships to be established and comparisons to be made between variables from the bank’s daily business. Finally, the results obtained show that the framework is able to detect relationships between banking operation records, starting from not homogeneous information and taking into account the large volume of data involved in the process.© 2019 Elsevier Inc. All rights reserved.
Keywords: Machine learning | Big data | Pattern detection | Business analytics | Finance