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Displaying 1-3 out of 3 total
Selection and Comparison of Supervised Predictive Data Mining Models for Electronics Fabrication Data
Computing, Control and Industrial Engineering, International Conference on
By Chang-Xue Jack Feng, Liang Gao, Peigen Li, Xinyu Shao
Issue Date:June 2010
In order to predict the performance of a manufacturing process or system, proper mathematical models are needed. This research investigates the use of two competitive unsupervised data mining methods - regression and neural networks - in developing an empi...
Collaborative execution mechanisms for the TCPN-enhanced process-view approach based inter-enterprises workflow
International Conference on Computer Supported Cooperative Work in Design
By Ping Jiang, Liang Gao, Peigen Li, Haobo Qiu
Issue Date:April 2009
Inter-enterprises workflow is by no means rare recently, which is more complex and dynamic than the intra-enterprise workflow. The Timed Colored Petri Nets (TCPN)-enhanced process-view approach implemented in our previous work provides an effective way to ...
A Reduction Algorithm Based on the Degree of Attribute Discernibility
Intelligent Systems Design and Applications, International Conference on
By Zheng Zhang, Xinyu Shao, Daoyuan Yu, Peigen Li
Issue Date:October 2006
This paper studies the problem of attribute discernibility reduction and introduces some new concepts to Rough Set theory, such as Secondary Core, Regeneration Matrix and the degree of attribute discernibility. An attribute reduction algorithm has been pro...
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