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Titlebook: Data Mining and Knowledge Management; Chinese Academy of S Yong Shi,Weixuan Xu,Zhengxin Chen Conference proceedings 2004 Springer-Verlag Be

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楼主: MIFF
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Ensuring Serializability for Mobile Data Mining on Multimedia Objects of extending traditional invalid-access prevention policy protocols, which are needed to ensure serializability involving data updates in mobile environments. Furthermore, we provide examples to illustrate how such kind of research can shed light on mobile data mining.
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Heuristics to Scenario-Based Capacity Expansion Problem of PWB Assembly Systemsution procedure is developed, which first reduces the searching space of capacity expansion decision variables to rough addition sets by heuristics, then the rough addition sets are searched through adaptive genetic algorithms. Numerical experiments are presented to show the financial benefit of the model and the feasibility of our approach.
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classifications of Credit Cardholder Behavior by Using Multiple Criteria Non-linear Programmingg (MCNP) approach to discovering the bankruptcy patterns of credit cardholders. A real-life credit database from a major US bank is used for empirical study on MCNP classification. Finally, the comparison of MCNP and other known classification methods is conducted to verify the validation of MCNP method.
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Knowledge Management, Habitual Domains, and Innovation Dynamicsd see where KM can commit decision traps and how to avoid them. Innovation dynamics, as an overall picture of continued enterprise innovation, is also introduced so that we could know the areas and directions in which KM can make maximum contributions and create value. KM empowered by HD can make KM even more powerful.
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A Method for Solving Optimization Problem in Continuous Space Using Improved Ant Colony Algorithmonents in the solution. Our experimental results of the problem of nonlinear programming show that our method has much higher convergence speed and stability than that of GA, and the drawback of ant colony algorithm of not being suitable for solving continuous optimization problems is overcome.
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https://doi.org/10.1007/978-1-4612-4664-0s of the value of knowledge and propose the Knowledge-Information (KnowIn) continuum and its circulatory nature in managing knowledge of the enterprise. Autopoietic cycle A-C-I-S is elaborated to that purpose. We conclude the paper by discussing some implications of the new KM for strategy and strategic management.
发表于 2025-3-31 23:57:24 | 显示全部楼层
Aydın Avkan,Benedek Nagy,Müge Saadetoğlu further benefit of the technique is the transparency into intermediate clustering steps; when applied to spatial data sets this allows the capture of contextual information. The abilities of this technique are demonstrated using both synthetic and biological data.
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