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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
发表于 2025-4-1 04:09:35 | 显示全部楼层
Nilanjana Karmakar,Arindam Biswasaditional multiple discriminant analysis or logit analysis using financial data. Similar approaches can be applied to other accounting areas such as fraud detection, detection of tax evasion, and an audit-planning tool for financially distressed firms.
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Knowledge-Information Circulation Through the Enterprise: Forward to the Roots of Knowledge Managemes 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.
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“Copasetic Clustering”: Making Sense of Large-Scale Images 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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Visualization-Based Data Mining Tool and Its Web Applicational databases. It is shown how the tool can support the process of exploration of data properties and selecting a small number of preferable items from the database by application a graphic form of goal programming. The graphic Web application server is considered which implements the data mining too
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Knowledge Management, Habitual Domains, and Innovation Dynamicsn and transactions. Nevertheless, without continuous expanding and upgrading our habitual domains (HD) and competence set (CS), KM may lead us to decision traps and making wrong decisions. This article introduces the concepts of habitual domains and competence set analysis in such a way that we coul
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