Conceptual Modeling – ER 2004: 23rd International Conference by Hector Garcia-Molina (auth.), Paolo Atzeni, Wesley Chu,

By Hector Garcia-Molina (auth.), Paolo Atzeni, Wesley Chu, Hongjun Lu, Shuigeng Zhou, Tok-Wang Ling (eds.)

This publication constitutes the refereed court cases of the twenty third foreign convention on Conceptual Modeling, ER 2004, held in Shanghai, China, in November 2004.

The fifty seven revised complete papers offered including 3 invited contributions and eight demonstration and poster papers have been conscientiously reviewed and chosen from 295 submissions. The papers are prepared in topical sections on conceptual modeling, datawarehouses, schema integration, information type and mining, web-based info platforms, question processing, internet prone, schema evolution, conceptual modeling functions, UML, XML modeling, and commercial presentations.

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Additional resources for Conceptual Modeling – ER 2004: 23rd International Conference on Conceptual Modeling, Shanghai, China, November 8-12, 2004. Proceedings

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Especially in large steel enterprises with complicated business and technical flows, “Timely finding and forecasting exceptions, promptly controlling and quality analysis” is a necessity. Therefore based on the quality control notion of 6 sigma, the application which based on data warehouse technologies, together with process control, fuzzy control, neural networks, expert system, data mining, can be applied in complicated working procedure as blast furnace, iron- making, steel-making, continuous casting, steel rolling.

Following are the some achievements in specific areas. Data Warehouse: Considering the size, complexity and technical level, Shanghai Baosteel enterprise data warehouse system is a rare and advanced system in China. As a successful BI case, such data warehouse system has become a model in metallurgical manufacturing today. Quality Control and Analysis: In such area, many data mining techniques with high level technologies and characteristics have been widely applied for quality improvement, and can be extended to other manufacturing enterprises as well.

Fig. 2. The Methodology of the BI construction 1. Assessment Within this phrase the users’ current situations and conditions should be studied. These factors will absolutely affect the data warehouse solutions. The target of phase is to analyze the users’ problems and the methods to resolve them. The initial assessment should identify and clarify the targets, and the requirements for the research for clarifying the targets. This kind of assessment will result in the decision of starting, delaying or the canceling of a project.

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