Open AccessApplication of Data Mining Technology in Portfolio Optimization
Author(s) -
Guorong Hu,
Hui Liu
Publication year - 2020
Publication title -
journal of physics. conference series
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.21
H-Index - 85
eISSN - 1742-6596
pISSN - 1742-6588
DOI - 10.1088/1742-6596/1648/4/042064
Subject(s) - big data , portfolio , computer science , data science , portfolio optimization , application portfolio management , data processing , data mining , risk analysis (engineering) , project portfolio management , business , engineering , systems engineering , database , project management , finance
With the development of the times and the progress of society, the level of human science and technology is constantly improving. A large number of scientific and technological forces help us to work and study in our daily production and life. In this era of big data, data mining technology is a hot technology in the current era, and it can be found in many industries in many fields. People analyze and manage the information in our daily life through big data technology. But in this era of rapid development, the traditional big data information analysis and management ability can not meet the new needs of the new era, and the emergence of data mining technology can fully meet the needs of information data processing in the new era. In order to better study the portfolio optimization problem in this era of big data, this paper proposes a method of integrating data mining technology with portfolio optimization problem, and makes full use of data mining technology. In a large number of portfolio optimization problem data, the relevant data are accurately analyzed and efficiently managed, so as to reasonably optimize the portfolio Research. It is found that the method proposed in this paper is of great significance to the application of data mining technology in portfolio optimization.