Autores
Aguilar Mayen Diego
Batyrshin Ildar
Pogrebnyak Oleksiy
Título A Survey on Computer Science Techniques in the FOREX Market: Models and Applications
Tipo Revista
Sub-tipo Indefinido
Descripción Research in Computing Science
Resumen In this paper a survey on computer science techniques such as natural language processing, machine learning, data mining, association rules, etc. which are applied on the FOREX market is presented. The main objective of investing in FOREX market is to maximize the profits given a certain period of time. This survey can be useful to researchers in this area, in order to compare and extend previous works.
Observaciones
Lugar Ciudad de México
País Mexico
No. de páginas 89-98
Vol. / Cap. v. 138
Inicio 2017-10-23
Fin
ISBN/ISSN