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.

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.

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.

Logistics Enterprise Management Analysis of Basic Data Mining Technology

2014 ◽  
Vol 1079-1080 ◽  
pp. 1173-1176
Author(s):  
Yan Jun Hua ◽  
Lai Yan ◽  
Dang Hui
Keyword(s):  
Data Mining ◽  
Product Information ◽  
Rapid Development ◽  
Customer Relationships ◽  
Basic Data ◽  
Logistics Management ◽  
Enterprise Management ◽  
Mining Technology ◽  
Logistics Industry ◽  
Logistics Enterprise

With the development of global economy, logistics industry is gradually developing. Along with the rapid development of e-commerce, Third Party logistics suddenly emerges, which has promoted the development of logistics industry. With the development of logistics industry and information technology, traditional logistics management pattern has already not adapted to the need of modern logistics management. Faced with a lot of product information and customer relationships, new modes of information management must be established to improve the efficiency of management. This paper mainly discusses the application of basic data mining technology in the logistics enterprise management.

Research and Application in the Web Data Mining Based on the XML

2014 ◽  
Vol 644-650 ◽  
pp. 2124-2127
Author(s):  
Fen Liu
Keyword(s):  
Data Mining ◽  
Information Transmission ◽  
Rapid Development ◽  
Data Sources ◽  
The Internet ◽  
Web Data ◽  
Web Data Mining ◽  
Mining Technology ◽  
Web Documents ◽  
The Web

With the rapid development of Internet, the Internet has become the important resources of information transmission and share. The characteristics of Web data are semi-structured, heterogeneous and mass, making traditional data mining technology indirectly applied to Web data sources. Web data mining refers to extracting a potential, useful model from the Web documents or Web activities. Because of the structural and expansibility of XML, research on XML combined with Web data mining has also became popular.

Enterprise Competitive Intelligence System Research Based on Data Mining Technology

2014 ◽  
Vol 651-653 ◽  
pp. 1562-1565
Author(s):  
Shao Kun
Keyword(s):  
Data Mining ◽  
Rapid Development ◽  
Competitive Intelligence ◽  
Practical Significance ◽  
Reserve Capacity ◽  
Competitive Advantages ◽  
Mining Technology ◽  
Intelligence System ◽  
Data Control ◽  
Competitive Intelligence System

Under the background of current continuous changing market economy and rapid development of information, enterprise will increase the demand of information or data, and correspondingly put forward higher requirements for its quality. For the purpose of better usage and information data control, enterprises put forward pioneering construct competitive intelligence system. Competitive intelligence system can provide accurate, effective and high value, timeliness strong intelligence data to enterprises and the enterprises may adjust their competitive strategy, and effectively enhance their own competitive advantages. The application of data mining technology in enterprise competitive intelligence system can upgrade information reserve capacity and optimize information channels to improve system efficiency effectively. In the process of enterprises development, the establishment of competitive intelligence system based on data mining technology has particularly important practical significance, so we should put more effort into establishing and running the intelligence system.

scholarly journals Application of Data Mining Technology Based on Data Center

2022 ◽  
Vol 2146 (1) ◽  
pp. 012017
Author(s):  
Longjun Zhang ◽  
Kun Liu ◽  
Ilyar Ilham ◽  
Jiaxin Fan
Keyword(s):  
Data Mining ◽  
Computer Science ◽  
Data Center ◽  
Rapid Development ◽  
Research Field ◽  
The Internet ◽  
Test Results ◽  
Mining Technology ◽  
Processing Data ◽  
Definition Of

Abstract Data mining technology refers to the use of mathematics, statistics, computer science and other methods to process a large amount of information to obtain useful conclusions and provide valuable decisions for people. With the rapid development and popularization of the Internet era and the more and more extensive application of computers in various fields, data mining technology has become a hot research field in today’s society. Based on the data center, this paper studies the data mining technology. Firstly, this paper expounds the definition of data mining, and studies the process of data mining and the steps of processing data. Then, this paper also designs and studies the framework of data mining, and tests the performance of the algorithm. Finally, the test results show that data mining technology can well meet the target requirements.

The Effect of Multimedia Teaching Model of Music Course in Colleges and Universities Based on Classroom Audio Data Mining Technology

2021 ◽  
Vol 7 (5) ◽  
pp. 4520-4531
Author(s):  
Fang Wang
Keyword(s):  
Data Mining ◽  
Visual Information ◽  
Rapid Development ◽  
Colleges And Universities ◽  
Mining Technology ◽  
Teaching Mode ◽  
Multimedia Teaching ◽  
College Music ◽  
Audio Data ◽  
Audio Files

Objectives: With the rapid development of information technology, multimedia teaching mode carries a large amount of audio-visual information, quickly occupies the music classroom in Colleges and universities, and becomes the mainstream teaching mode of music teaching in Colleges and universities. Methods: Based on this, this study uses classroom audio data mining technology to analyze the effect of multimedia teaching mode of music courses in Colleges and universities. The method of audio data mining is analyzed in college music multimedia classroom. The advanced embedded SOPC system is used to decode the MP3 audio files played in music courses by combining software and hardware. The performance of the multimedia teaching system in college music courses is optimized. Results: The hardware resources are made use of the flexibility of SOPC (System-on-a-Programmable-Chip) system. Reasonable allocation achieves the optimal design of teaching mode. Finally, the superiority of the algorithm is verified by testing. The test results show that the decoding speed and efficiency of audio files can be significantly improved by combining hardware and software. Conclusion: At the same time, the system has greater flexibility and expandable space, which can effectively promote the multimedia teaching effect of music courses in Colleges and universities. The research in this paper is helpful to the flexible transformation of multimedia teaching mode of music courses in Colleges and universities, and provides an important reference for the popularization of multimedia and the wide use of data mining technology in music courses in Colleges and universities.

The Application of Data Mining Technology in the Data Analysis of Traditional Chinese Medicine

2014 ◽  
Vol 687-691 ◽  
pp. 1266-1269
Author(s):  
Zhen Wang ◽  
Kan Kan She
Keyword(s):  
Data Mining ◽  
Information Technology ◽  
Data Analysis ◽  
Chinese Medicine ◽  
Traditional Chinese Medicine ◽  
Rapid Development ◽  
Theoretical Knowledge ◽  
Mining Technology ◽  
Mining Methods ◽  
Using Data

With the rapid development of information technology, the amount of data accumulated by people is increasing sharply. Data mining technology is an effective method to find useful information from vast amounts of data and increase the utilization of information. After thousands of years of development, traditional Chinese medicine has accumulated a wealth of theoretical knowledge and a lot of books and records, more and more Chinese medicine databases are created. Using data mining technology to mine the unknown knowledge and rules and put forward assumptions for experiment and theory can be a good auxiliary research of traditional Chinese medicine. This article analyzes the data mining methods of traditional Chinese medicine at first. Then, the application of data mining technology in traditional Chinese medicine data analysis is introduced which includes the data mining of traditional Chinese medicine literatures, diagnosis and clinic of traditional Chinese medicine and prescription and medication of traditional Chinese medicine. At last, the aspects which need to be paid attention to in the data mining of traditional Chinese medicine are pointed out.

The Study of Privacy Preserving Data Mining Technology for Information Security

2014 ◽  
Vol 556-562 ◽  
pp. 3532-3535
Author(s):  
Heng Li ◽  
Xue Fang Wu
Keyword(s):  
Data Mining ◽  
Data Privacy ◽  
Privacy Preservation ◽  
Rapid Development ◽  
Privacy Preserving ◽  
Future Research ◽  
Privacy Preserving Data Mining ◽  
Mining Technology ◽  
Network Database ◽  
Use Of Data

With the rapid development of computer technology and the popularity of the network, database scale, scope and depth of the constantly expanding, which has accumulated vast amounts of different forms of stored data. The use of data mining technology can access valuable information from a lot of data. Privacy preserving has been one of the greater concerns in data mining. Privacy preserving data mining has a rapid development in a short year. But it still faces many challenges in the future. A number of methods and techniques have been developed for privacy preserving data mining. This paper analyzed the representative techniques for privacy preservation. Finally the present problems and directions for future research are discussed.

Application of Data Mining Technology in Higher Education

2014 ◽  
Vol 574 ◽  
pp. 743-747
Author(s):  
Xiao Hong Liu
Keyword(s):  
Higher Education ◽  
Data Mining ◽  
Decision Making ◽  
Information Technology ◽  
Rapid Development ◽  
Complete Information ◽  
Focus Of Attention ◽  
Technical Support ◽  
Mining Technology ◽  
Information Platform

With the rapid development of information technology, many universities have a relatively complete information platform, and a mass of data resources. Faced a lot of data, how the data is rational used and developed, to accomplish the transformation of knowledge that provide managers with basis for decision making, has become the focus of attention in universities. Data mining technology provide technical support for achieving this goal.

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