The Application of Web Data Mining Technique in Competitive Intelligence System of Enterprise Based on XML

2009 ◽  
Author(s):  
Chen Ting ◽  
Niu Xiao ◽  
Yang Weiping
Keyword(s):  
Data Mining ◽  
Competitive Intelligence ◽  
Web Data ◽  
Data Mining Technique ◽  
Web Data Mining ◽  
Intelligence System ◽  
Mining Technique ◽  
Competitive Intelligence System

scholarly journals Personalized web search on e-commerce using ontology based association mining

2017 ◽  
Vol 7 (1.1) ◽  
pp. 286
Author(s):  
B. Sekhar Babu ◽  
P. Lakshmi Prasanna ◽  
P. Vidyullatha
Keyword(s):  
Data Mining ◽  
Web Search ◽  
Large Data ◽  
Association Mining ◽  
Data Sets ◽  
Data Mining Algorithm ◽  
Web Data ◽  
Data Mining Technique ◽  
Web Data Mining ◽  
The Web

 In current days, World Wide Web has grown into a familiar medium to investigate the new information, Business trends, trading strategies so on. Several organizations and companies are also contracting the web in order to present their products or services across the world. E-commerce is a kind of business or saleable transaction that comprises the transfer of statistics across the web or internet. In this situation huge amount of data is obtained and dumped into the web services. This data overhead tends to arise difficulties in determining the accurate and valuable information, hence the web data mining is used as a tool to determine and mine the knowledge from the web. Web data mining technology can be applied by the E-commerce organizations to offer personalized E-commerce solutions and better meet the desires of customers. By using data mining algorithm such as ontology based association rule mining using apriori algorithms extracts the various useful information from the large data sets .We are implementing the above data mining technique in JAVA and data sets are dynamically generated while transaction is processing and extracting various patterns.

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.

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.

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.

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