Design of Enterprise Information Network User Decision Support System
|School||Harbin University of Science and Technology|
|Keywords||Decision support systems Data Mining Database Model library Method library|
With the continuous development of Internet technology and e-commerce, a new question is how the Web log mining to discover new useful information resources, which is not only the concern of the website managers, but also e-commerce, management science, and artificial intelligence and other areas of concern of a new hot spot. The guiding ideology of the enterprise information network user decision support system design based on data mining technology based Web server logs mining, digging through the server's log files, user access patterns, thus further analysis and research users access law to solve this new problem. This paper first describes a decision support system at home and abroad research status and future trends of the data mining process, elaborated the concept of association rules and classic Apriori algorithm and improved; then elaborated on the design of decision support systems for enterprise information network users principles, system requirements analysis, design of the logical structure of the system and functional modules; Finally, a Chinese national enterprise information network as the background, design decision support system of the Chinese national enterprise information network, the main function. Background underlying this article focuses on the design of enterprise information network user decision support system, to solve the main problem the following aspects: 1. Web log mining problems common for all types of information network, combined with data mining technology advantage, the system The overall design, and system functional modules carried out a detailed analysis and design. According to the needs of the system development and design of the system's database subsystem, model base subsystem, the method library subsystem three parts and gates above URL-User ID associated matrix representation of the user browsing behavior is established based on the URL- User ID associated matrix Web page clustering model, Web user clustering model. 3 in accordance with the enterprise information user decision support system design, decision support system to develop the Chinese national enterprise information network. System two aspects: First, the access to the information on the website statistics, such as day visits; its data mining using Apriori algorithm to discover hidden user access paths and rules. Enterprise Information Network user decision support system designed for ordinary websites, the national enterprise information decision support system is its practical application, the application has good scalability and reusability. In this paper, this only made Preliminary, in practical applications need to be further developed and improved.