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criteria linear and nonlinear programming has proven to be a very
useful approach. * Knowledge management for enterprise: These
papers address various issues related to the application of
knowledge management in corporations using various techniques. A
particular emphasis here is on coordination and cooperation. * Risk
management: Better knowledge management also requires more advanced
techniques for risk management, to identify, control, and minimize
the impact of uncertain events, as shown in these papers, using
fuzzy set theory and other approaches for better risk management. *
Integration of data mining and knowledge management: As indicated
earlier, the integration of these two research fields is still in
the early stage. Nevertheless, as shown in the papers selected in
this volume, researchers have endearored to integrate data mining
methods such as neural networks with various aspects related to
knowledge management, such as decision support systems and expert
systems, for better knowledge management. September 2004 Yong Shi
Weixuan Xu Zhengxin Chen CASDMKM 2004 Organization Hosted by
Institute of Policy and Management at the Chinese Academy of
Sciences Graduate School of the Chinese Academy of Sciences
International Journal of Information Technology and Decision Making
Sponsored by Chinese Academy of Sciences National Natural Science
Foundation of China University of Nebraska at Omaha, USA Conference
Chairs Weixuan Xu, Chinese Academy of Sciences, China Yong Shi,
University of Nebraska at Omaha, USA Advisory Committee
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