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dc.contributor.authorLotov, Alexander V.en_US
dc.contributor.authorKistanov, Alexander A.en_US
dc.contributor.authorZaitsev, Alexander D.en_US
dc.contributor.editorShi, Yongen_US
dc.contributor.editorXu, Weixuanen_US
dc.contributor.editorChen, Zhengxinen_US
dc.date.accessioned2019-04-22T02:54:42Z
dc.date.available2019-04-22T02:54:42Z
dc.date.issued2005en_US
dc.identifier.isbn3540239871en_US
dc.identifier.isbn9783540239871en_US
dc.identifier.isbn9783540305378en_US
dc.identifier.otherHPU1161315en_US
dc.identifier.urihttps://lib.hpu.edu.vn/handle/123456789/32584
dc.description.abstractcriteria 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 Committeeen_US
dc.format.extent281 p.en_US
dc.format.mimetypeapplication/pdf
dc.language.isoenen_US
dc.publisherSpringer-Verlag Berlin Heidelbergen_US
dc.subjectArtificial Intelligenceen_US
dc.subjectDatabase Managementen_US
dc.subjectInformation Systems Applicationsen_US
dc.subjectBusiness Information Systemsen_US
dc.titleData Mining and Knowledge Management: Chinese Academy of Sciences Symposium CASDMKM 2004, Beijing, China, July 12-14, 2004. Revised Papersen_US
dc.typeBooken_US
dc.size9,670 KBen_US
dc.departmentTechnologyen_US


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