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.

scholarly journals Precise Position Intelligent Matching System of Online Recruitment Platform Based on Data Mining Technology

2021 ◽  
Vol 2066 (1) ◽  
pp. 012001
Author(s):  
Zhen Gao
Keyword(s):  
Data Mining ◽  
Rapid Development ◽  
Internet Technology ◽  
Job Seekers ◽  
Mining Technology ◽  
Position Information ◽  
Precise Position ◽  
Random Mass ◽  
Online Recruitment ◽  
Platform System

Abstract With the rapid development of Internet technology and computer technology, network applications have been developed more and more, and have penetrated into all walks of life in society. The emergence of the networking of the talent market has made the scale of online recruitment increase, and the amount of data on the Internet has become larger and larger, and online recruitment has become the main channel for corporate recruitment. Therefore, how to use the massive online recruitment data to quickly and accurately find the corresponding information and explore the hidden knowledge mode is a very valuable research topic. Data mining (DM) is a technology for data analysis for large amounts of data. It can discover hidden, hidden, and potentially useful knowledge hidden in the data from the vague, noisy, and random mass data, and build relevant Model, realize prediction, etc. The characteristics of data mining technology (DMT) are very suitable for the analysis of online recruitment information, research on large amounts of information, and find out the knowledge in it for decision support. This article aims to study the accurate job matching system of the online recruitment platform based on DMT. Based on the analysis of the advantages of online recruitment, related DMT and the design principles of the online recruitment platform system, the data collected by Weka DM tools are analyzed. Analyzing and getting useful job positions is just to provide job seekers and corporate-related recruiters with useful job information. The experimental results show that the online recruitment platform system can complete the collection of online recruitment position information, and can realize the DM function, which has good practical application value.

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.

Study on Data Mining Techniques and Algorithms of Association Rules Data Mining

2014 ◽  
Vol 543-547 ◽  
pp. 2040-2044
Author(s):  
Yan Bo Wang
Keyword(s):  
Data Mining ◽  
Association Rules ◽  
Granular Computing ◽  
Rapid Development ◽  
System Structure ◽  
Data Set ◽  
Mining Technology ◽  
Technology System ◽  
Operation Process ◽  
Database Technology

With the rapid development of network and database technology, data need to be processed massively increased, how to carry out effective data mining is a serious problem. The mature development of granular computing algorithm provides new ideas and new methods to study for data mining. Association rules of granular computing can reduce the number of object scanning data set, and improve the efficiency of the algorithm. In this paper we introduce the data source, classification, technology, system structure, operation process, application in other areas of data mining technology. Based on association rules of granular computing, data mining technology can provide quantitative basis for enterprise in screening assessment, so the service object has a stronger competitive advantage and focus more on its problems.

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.

Web Data Mining Technology on Cloud Computing

2014 ◽  
Vol 543-547 ◽  
pp. 3490-3493
Author(s):  
Yan Zhang
Keyword(s):  
Data Mining ◽  
Cloud Computing ◽  
Efficient Method ◽  
Rapid Development ◽  
Present Situation ◽  
Technology Research ◽  
Computing Technology ◽  
Web Data ◽  
Web Data Mining ◽  
Mining Technology

With the rapid development of cloud computing technology, the traditional centralized data mining technology becomes inappropriate for the growing huge amounts of data. Cloud computings Web data mining technology comes into use because it is a reliable and efficient method. This article introduces the meaning, characteristics, and the present situation of cloud computing, analyzes the advantage of Web data mining technology on the basis of the use of cloud computing technology, makes investigations and summaries of the present situation, challenges and problems of the current cloud computing Web data mining technology research, and puts forward the corresponding methods to solve these problems.

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