<abstract xmlns="http://www.w3.org/1999/xhtml">

<p>Financial data sets are growing too fast and need to be analyzed. Data science has many different techniques to store and summarize, mining, running simulations and finally analyzing them. Among data science methods, predictive methods play a critical role in analyzing financial data sets. In the current paper, applications of 22 methods classified in four categories namely data mining and machine learning, numerical analysis, operation research techniques and meta-heuristic techniques, in financial data sets are studied. To this end, first, literature reviews on these methods are given. For each method, a data analysis case (as an illustrative example) is presented and the problem is analyzed with the mentioned method. An actual case is given to apply those methods to solve the problem and to choose a better one. Finally, a conclusion section is proposed.</p>
</abstract>

Financial data sets are growing too fast and need to be analyzed. Data science has many different techniques to store and summarize, mining, running simulations and finally analyzing them. Among data science methods, predictive methods play a critical role in analyzing financial data sets. In the current paper, applications of 22 methods classified in four categories namely data mining and machine learning, numerical analysis, operation research techniques and meta-heuristic techniques, in financial data sets are studied. To this end, first, literature reviews on these methods are given. For each method, a data analysis case (as an illustrative example) is presented and the problem is analyzed with the mentioned method. An actual case is given to apply those methods to solve the problem and to choose a better one. Finally, a conclusion section is proposed.

Application of Predictive Methods to Financial Data Sets

Financial Internet Quarterly

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 3.0 License.

{"article-title":"Application of Predictive Methods to Financial Data Sets"}

Financial data sets are growing too fast and need to be analyzed. Data science has many different techniques to store and summarize, mining, running...

Application of Predictive Methods to Financial Data Sets

Publié en ligne: 31 mars 2021

Pages: 50 - 61

Reçu: 05 janv. 2021

Accepté: 10 mars 2021

DOI: https://doi.org/10.2478/fiqf-2021-0006

Mots clés
data mining, machine learning, meta-heuristic technique, numerical computation, operation research, predictive methods

© 2021 Reza Habibi, published by Sciendo

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 3.0 License.

Application of Predictive Methods to Financial Data Sets

Publié en ligne: 31 mars 2021

Pages: 50 - 61

Reçu: 05 janv. 2021

Accepté: 10 mars 2021

DOI: https://doi.org/10.2478/fiqf-2021-0006

Mots clésdata mining, machine learning, meta-heuristic technique, numerical computation, operation research, predictive methods

© 2021 Reza Habibi, published by Sciendo

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 3.0 License.

Mots clés
data mining, machine learning, meta-heuristic technique, numerical computation, operation research, predictive methods