scholarly journals Application of Computer Data Mining Technology in E-Business

2021 ◽  
Vol 1744 (4) ◽  
pp. 042107
Author(s):  
Zhaoquan Zhou ◽  
Bin Gu
Keyword(s):  
Data Mining ◽  
Mining Technology ◽  
Computer Data

Application of Data Mining Technology Based on Apriori Algorithm

2014 ◽  
Vol 543-547 ◽  
pp. 2036-2039
Author(s):  
Jian Xing Chen
Keyword(s):  
Data Mining ◽  
Computer Simulation ◽  
Association Rule ◽  
Computer Time ◽  
Data Mining Algorithm ◽  
Apriori Algorithm ◽  
Mining Technology ◽  
Computer Data ◽  
Mining Algorithm ◽  
Step Distance

With the continuous expansion of computer simulation scale, the demand for data mining algorithm is also more and more big. The difficulties in computer data mining technology are focused on algorithm development. Apriori algorithm is a kind of computer data mining algorithm which can greatly improve the computational efficiency. The algorithm uses association rule, which can avoid repeated frequently by layer scanning, reducing the computer time. This paper uses Apriori algorithm to design the data mining parameter optimization model of computer 3D human biology simulation, and applies to improve the step three jump. Through the simulation we found step distance appropriate, it provides technical reference for the application of computer simulation technology in sports.

Research on the Application of Computer Data Mining Technology in the Financial Risk Management

2014 ◽  
Vol 513-517 ◽  
pp. 1940-1943
Author(s):  
Li Hong Yu ◽  
Ya Li Xu ◽  
Lin Dai
Keyword(s):  
Data Mining ◽  
Risk Management ◽  
Financial Risk ◽  
Customer Relationship ◽  
Financial Industry ◽  
Mining Technology ◽  
Typical Application ◽  
Computer Data ◽  
Financial Risk Management ◽  
Implicit Data

The computer data mining technology plays an important role in the financial risk management. It can extract the implicit data that people don't know in advance, in the mean time, and potentially useful information and knowledge for managers to provide decision-making reference. This paper introduces the concept of data mining, the process and main technology first, and then introduces the typical application of data mining in the financial risk management, such as customer relationship management, credit risk assessment and financial crisis early warning analysis. At last, it has a summary to provide the risk management for the financial industry.

scholarly journals Research on the Development and Application of Computer Data Mining Technology

2021 ◽  
Vol 2083 (4) ◽  
pp. 042081
Author(s):  
Zhe Fu
Keyword(s):  
Data Mining ◽  
Social Development ◽  
Computer Technology ◽  
Rapid Development ◽  
Mining Technology ◽  
Computer Data ◽  
Tremendous Progress

Abstract With the rapid development of computer technology, computer data mining technology has been widely used in various fields, and it has also promoted tremendous progress in society as a whole. As the economic and social development will inevitably promote the continuous skyrocketing of data in various fields, how to find useful information in the infinite data will inevitably require computer data mining technology. The article will analyze the development and application of computer data mining technology.

Meshing Analysis on Stress Distribution of Mechanical Structure Based on Digital Mining Technology

2014 ◽  
Vol 543-547 ◽  
pp. 1939-1942
Author(s):  
Wei Hu ◽  
Jia Lin Zhang
Keyword(s):  
Data Mining ◽  
Stress Distribution ◽  
Finite Difference ◽  
Characteristic Curve ◽  
Simulation Software ◽  
Tetrahedral Mesh ◽  
Central Difference ◽  
Mining Technology ◽  
Computer Data ◽  
Data Mining Algorithms

The data mining technology is one of the most commonly used computer data analysis method. This paper establishes finite difference model of the data mining process using forward first difference, backward first difference and central difference and verifies the feasibility of the algorithm through Matlab software. In order to verify the suitability of the algorithm, the paper takes modeling and meshing of Proe mechanical engineering software for example and establishes the model for the yankee dryer. It achieves the meshing of complex dryer model and gets the better unstructured tetrahedral mesh. It also introduces grid to the computer mechanics simulation software and concludes simulation stress distribution of dryer through the calculation. At last, this paper applies the finite difference data mining algorithms to the research of the development of in local sports single associations. This paper concludes the characteristic curve of the development of local sports federations which realizes the application of computer data mining in the analysis of sports data.

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