The Path Analysis of Data Mining Technology in Internet Financial Asset Management
Bibliographic Data
| ID | 22252533 |
|---|---|
| Authors | Zhenshan Li (0000-0002-1110-3588, Shanghai University, corresponding author) |
| Year | 2021 |
| Volume | 3 |
| Issue | 10 |
| Publication date | 2021-01-01 |
| Peer Reviewed | Yes |
| Open Access | No |
| Type | ARTICLE |
| Venue | International Journal of Frontiers in Sociology (JOURNAL) |
| Journal identifiers | ISSN: 2706-6827 |
| Publisher | Francis Academic Press Ltd (PUBLISHER) |
| DOI | 10.25236/ijfs.2021.031017 |
| OpenAlex | W3202705140 |
| Language | EN |
As a modern information processing technology, data mining technology has been widely used in all walks of life. The role played by great data analysis technologies cannot be replaced by other information technologies. It opened up new markets and created new functional models. It provides a strong guarantee for the investment of online financial asset management and reduces the investment risk of online financial asset management. This article focuses on the research of path analysis and DM technology to manage financial assets on the Internet. First, it uses bibliographic research methods to explain the functions of DM and the application direction of DM technology in Internet financial asset management. Finally, it uses DM technology to analyze financial assets on the Internet. Through data analysis, it can be obtained that potential buyers have the highest score for real estate project land with a score of 3.98; followed by transportation, public institutions, and public facilities. And property management, the scores are 3.87, 3.43, 3.23, 3.24 and 2.90; and the resident quality score is the lowest, only 1.21
Actuarial science · Asset management · Business · Computer security · Financial analysis · Financial management · Information technology · Investment management · Market liquidity · Real estate · The Internet · World Wide Web · Computer Science · Housing Market and Economics · Insurance and Financial Risk Management · Finance
| Citation velocity | historical |
|---|---|
| Highly cited | No |