Big Data Analysis of Financial Based on Mapping-Inversion Principle
- DOI
- 10.2991/icemse-19.2019.105How to use a DOI?
- Keywords
- Financial management, big data, mapping-inversion, learning mechanism, experience and knowledge
- Abstract
How to apply big data mining to financial management and decision-making is an urgent problem to be solved in the research of financial management and decision-making. In this paper, the relation mapping-inversion principle is applied to financial management decision-making, and a novel financial management big data mining method, that is, the learning mode of financial data mapping and knowledge inversion, is established. The basic framework of this financial management model is mapping from data relations to management rules, and inverting from management rules to decision-making mode. At the same time, the relationship between financial data, knowledge and experience are analyzed from the perspective of financial management decision support system, and the significance and function of financial big data management are analyzed by establishing a learning mechanism of mutual integration.
- Copyright
- © 2019, the Authors. Published by Atlantis Press.
- Open Access
- This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).
Cite this article
TY - CONF AU - Xuenan Qiu AU - Ping He PY - 2019/09 DA - 2019/09 TI - Big Data Analysis of Financial Based on Mapping-Inversion Principle BT - Proceedings of the 2019 3rd International Conference on Education, Management Science and Economics (ICEMSE 2019) PB - Atlantis Press SP - 450 EP - 453 SN - 2352-5428 UR - https://doi.org/10.2991/icemse-19.2019.105 DO - 10.2991/icemse-19.2019.105 ID - Qiu2019/09 ER -