Modeling Daily Financial Market Data by Using Tree-Based Genetic Programming

dc.contributor.author	Ari, D.
dc.contributor.author	Alagoz, B.B.
dc.date.accessioned	2021-12-16T10:11:44Z
dc.date.available	2021-12-16T10:11:44Z
dc.date.issued	2021
dc.identifier.isbn	9.78167E+12
dc.identifier.uri	https://doi.org/10.1109/ICIT52682.2021.9491652
dc.identifier.uri	http://dspace.beu.edu.tr:8080/xmlui/handle/20.500.12643/12646
dc.description.abstract	A behavioral modeling of financial markets based on daily data is not an easy problem for machine learning algorithms. The social and physiological factors can take effect on market data and result in significant uncertainty in data. This study demonstrat
dc.language.iso	English
dc.publisher	Institute of Electrical and Electronics Engineers Inc.
dc.relation.ispartof	2021 International Conference on Information Technology, ICIT 2021
dc.source	2021 International Conference on Information Technology, ICIT 2021 - Proceedings
dc.title	Modeling Daily Financial Market Data by Using Tree-Based Genetic Programming
dc.type	Conference Paper
dc.identifier.endpage	386
dc.identifier.doi	10.1109/ICIT52682.2021.9491652
dc.identifier.scopus	2-s2.0-85112189932

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