Reza Habibi
pages: 50-61;
JEL classification: G17;
Keywords: data mining, machine learning, meta-heuristic technique, numerical computation, operation research, predictive methods;
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.