Intelligent Decision Support System For E-business On The Basis Of Click-stream Data Analysis

With the application of all kinds of information systems based on Internet, all corporations would collect more information concerning customers, productions and sales. And those information could help corporations to forecast and grasp the future situation better. The Business Intelligence System, which depends on Decision Support System (DSS), could provide the users more complex business information, and greatly improve the capability of analyzing and handling information, together with the utility of information, so that helps to solve many problems in the decision-making and make the project more promptly and more perfectly. Therefore, developing Business Intelligence System on the basis of DSS has become the inundant trend of developing modern corporations.On the survey of the development and current researching statement of DSS, this paper present such a research idea: analyzing the customers' Click-stream data and inner data of corporations intelligently, so that fulfilling the design and development of an Intelligent DSS in the environment of e_business. The technology of Data Mining is introduced during intelligent analysis.In this paper, we firstly present the whole framework of the system, including the introduction of the main functional module. Next, in the part of data preprocessing, we design a method of collecting click-stream data in the application server layer and preprocessing them with real time; In the part of Data Mining that is data analyzing, we research and implement an extended attribute-oriented induction algorithm which applies to data Generalization analysis, and that, we also design and implement an hybrid-dimensional association rule mining algorithm for associative analysis. In the end, on the e-business web site system of Jiangsu Changjiang electronic Group Corp, we design and implement an Intelligent DSS(IDSS) with the help of the above algorithms.The innovations of this paper rest with the following:1. Present a system framework of intelligent DSS based on click-stream data mining technology. Much of useful information, which could guide the production and assist decision making in corporations, could be mined from the enormous customers' visiting data.2. Improve the Apriori algorithm for mining the single-dimensional, single-level, Boolean association rules. Design and implement the algorithm which can mining hybrid -dimensional association rules within multi-dimensional transaction database.3. Implement the expansibility and selectivity of algorithms library, in term of the ideal of component...