Research And Implementation Of The Key Technologies In Constructing Business Intelligent System

Abstract: Business intelligence is produced to help manager to acquire the knowledge and make smart decisions by collecting and analyzing the business information. In this information ages, the enterprise decision-makers propose higher requirement to the analytical method. Data mining plays a more and more important role in business intelligent system.The main contribution of this paper includes:(1) Studies the concept and the development of business intelligence and data mining. Points out the important role DM played in BI and the necessity of constructing business intelligent system prototype based on BRIO and date mining (BDMBIS).(2) Analyzes the necessity, difficulties, important points and key techniques in the business intelligence system prototype.(3) Proposes a design method for BDMBIS.(4) Based on three-layer BP neural network, proposes two new approaches to handle predicting cycle and processing mutate. Gives extensive experiments to show that the new methods are effective, on the contrary to traditional algorithms. The average accuracy can be improved by 38.5%.(5) Integrates whole system based on the BRIO Performance Suite platform and displays data and chart with some skills and new methods. The thesis is organized as follows:Section 1 introduces the basic concept, development and the structure of business intelligence. Section 2 discusses the basic concept and technologies of data...