Design and Implementation of Office Management System in Small and Medium Sized Enterprises Based on Data Mining Technology

2014 ◽  
Vol 686 ◽  
pp. 300-305
Author(s):  
Qiang Fei Yin ◽  
Qiu Li
Keyword(s):  
Data Mining ◽  
Theoretical Foundation ◽  
Competitive Intelligence ◽  
Intelligence Analysis ◽  
Mining Technology ◽  
Fcm Algorithm ◽  
Intelligence System ◽  
Design And Implementation ◽  
Office Management ◽  
Competitive Intelligence System

This paper introduces data mining technology in enterprise competitive intelligence system; and then introduced theoretical foundation and main clustering method of cluster analysis. The article emphasis on the FCM algorithm and principle and described implementation steps, and proposed the improvement FCM algorithm based on K mean particle size; finally, realize the design and implementation of enterprise competitive intelligence analysis and mining service system, and the improved FCM algorithm is applied in the system.

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.

The Enterprise Competitive Intelligence System Based on Data Mining

2014 ◽  
Vol 543-547 ◽  
pp. 4553-4556
Author(s):  
Xiao Guang Li ◽  
Zhan Jun Gao
Keyword(s):  
Data Mining ◽  
Knowledge Economy ◽  
Competitive Intelligence ◽  
General Process ◽  
Intelligence System ◽  
Competitive Intelligence System

In knowledge economy era, data and information become important economy resources. Drawing valuable information quickly from great amount of datum and reacting immediately, will become the key of corporation success. The paper introduces Competitive Intelligence and Corporation Competitive Intelligence System (CIS) firstly. Then, the paper gives the concept of Data Mining and general process. Furthermore, the paper gives a model of Corporation Competitive Intelligence System based on data mining and its relevant process.

Design and Research on Data Warehouse of Insurance Industry

2014 ◽  
Vol 496-500 ◽  
pp. 2108-2111
Author(s):  
Jian Hu Zhang ◽  
Lei Lei ◽  
Xin You Cui ◽  
Yong Wu ◽  
Lin Tao Li
Keyword(s):  
Data Mining ◽  
Data Warehouse ◽  
Domain Knowledge ◽  
Insurance Industry ◽  
Basic Flow ◽  
Logical Model ◽  
Mining Technology ◽  
Concept Model ◽  
Design And Implementation

Through in-depth understanding of the domain knowledge of insurance and the study of the technology of data warehouse, the paper illustrate the application of data mining technology and data warehouse technology in the insurance clients analysis, and from the basic flow of, discusse the application of data warehouse technology in the field of insurance industry. Then, from the concept of data warehouse, describe the design and implementation of data warehouse concept model and logical model.

Big data based research on the management system framework of ideological and political education in colleges and universities

2020 ◽  
pp. 1-10
Author(s):  
Yuejun Xia
Keyword(s):  
Artificial Intelligence ◽  
Data Mining ◽  
Big Data ◽  
Ideological And Political Education ◽  
Political Education ◽  
Representative Point ◽  
Point Sets ◽  
Mining Technology ◽  
Education Management ◽  
Intelligence System

Artificial intelligence model combined with data mining technology can mine useful data from college ideological and political education management, and conduct process evaluation and teaching management. Therefore, based on the superiority of data mining technology and artificial intelligence system, this paper improves the traditional algorithm and constructs a university ideological and political education management model based on big data artificial intelligence. Moreover, this study uses a local sensitive hash function to generate representative point sets and uses the generated representative point sets for clustering operations. In order to verify the performance of the algorithm model, a control experiment is designed to compare the algorithm of this paper with traditional data mining methods. It can be seen from the research results that the algorithm model constructed in this paper has good performance and can be applied to practice.

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