Open AccessResearch on the Development of an Intelligent Financial Management System Based on Data Mining Technology
Author(s) -
Hui Jiang
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 - 10.1088/1742-6596/1578/1/012062
Subject(s) - decision support system , sort , operability , computer science , intelligent decision support system , expert system , knowledge base , competitive intelligence , knowledge management , process (computing) , field (mathematics) , executive information system , marketing and artificial intelligence , business intelligence , information system , management information systems , data mining , artificial intelligence , engineering , database , software engineering , mathematics , pure mathematics , electrical engineering , operating system
With the in-depth development of enterprise information construction, enterprises accumulate more and more business data, at the same time, the constantly changing market environment and fierce competition, have prompted managers to more in-depth information desire. An intelligent financial decision support system is a specific application in the financial field after the integration of traditional decision support system and expert system in artificial intelligence. The application of an intelligent financial decision support system can help enterprises to classify, sort, process and analyze data, and transform historical data that cannot be further used into knowledge base information for senior decision makers. However, in most of the existing researches on an intelligent financial decision support system, the application of data mining technology is not specific enough, and only gives the construction of a model library and knowledge base in a general way. At the same time, it is seldom combined with the actual situation of enterprises, so the operability is not strong.