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A Data Mining Framework Oriented CIM for Cooperative Manufacturing | IEEE Conference Publication | IEEE Xplore

A Data Mining Framework Oriented CIM for Cooperative Manufacturing


Abstract:

This paper firstly analyzes the reason why data mining should be implemented in CIM (computer integrated manufacturing) system. Secondly current developments about data m...Show More

Abstract:

This paper firstly analyzes the reason why data mining should be implemented in CIM (computer integrated manufacturing) system. Secondly current developments about data mining frameworks are introduced. CIMSMiner is a framework for cooperative manufacturing, which combines the practical requirements of CIM system with the new evolution of data mining. The logical architecture, system objectives and system architectures are described in detail respectively. Its logical architecture includes data obtaining layer, data storing layer and data mining layer. The system architecture is based on C/S. The server is mainly composed of data pumping engine, data warehouse and meta-database, and the client mainly includes algorithms tools set, algorithms primitives and data warehouse manager. CIMSMiner supports many novel algorithms, such as evolving association rule and multi-group genetic algorithm. CIMSMiner may promote CIM system development to the future intelligent CIM system that has the decision support ability.
Date of Conference: 07-11 August 2006
Date Added to IEEE Xplore: 15 January 2007
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ISSN Information:

Conference Location: Harbin, China

1 INTRODUCTION

In the last few years, we have been being engaged in designing and implementing CIM System that lead to the concept of totally integrated automation system in China. Currently, not a few large enterprises all adopted the concept of CIM to reorganize, and already obtain the better results in manufacturing and management. After developed for many years, these enterprises have accumulated plenty of data. These data are a kind of precious information resource. With the gradual increment of the database, the traditional queries could not meet the new development, and plenty of data are out of date without analysis in good time. Thus many managers think that the data is too abundant, but the knowledge is too poor, so they cry for the discovery of valuable information or knowledge from the current complicated database in order to serve for decision-making, which is lack in the current CIM system. We consider that the future CIM system should be ICIM (Intelligent CIM) system, which has the decision support ability.

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