Research And Implementation Of Key Technologies Of Date Mining Oriented To Enterprise Competitive Intelligence

With the development of information technology, explosion of business growth in the amount of information, the deficiency in the data analysis of traditional Enterprise Competitive Intelligence System, it is unable to meet the needs of enterprises which are growing rapidly. Therefore, new techniques and methods are needed urgently to be used in Enterprise Competitive Intelligence System. Data mining technology provided a new impetus for the enterprise competitive intelligence system's development.In this article the author first introduces the study of Enterprise Competitive Intelligence System, its application status and development trend both at home and abroad, analyzes the deficiency of traditional Enterprise Competitive Intelligence System in the data analysis, and points out that we can alleviate this problem by bringing the data mining technology into the Enterprise Competitive Intelligence System. The concepts of data mining, objects and methods, and the application of data mining in business are also introduced. And then the author focuses on the theory and algorithms of association rules in data mining, and discusses the classical association rules algorithm Apriori. Finally, on the basis of the above study, the integration of data mining technology in the Enterprise Competitive Intelligence System is proposed, and an enterprise competitive intelligence data mining subsystem is set up to improve the traditional enterprise competitive intelligence system, and the structure and function of the subsystem as well as its design and implementation are described. The way to build a modern business intelligence competitive intelligence system this article proposes has a certain reference value.