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Titlebook: Artificial Intelligence for Knowledge Management; Second IFIP WG 12.6 Eunika Mercier-Laurent,Mieczys?aw Lech Owoc,Daniel Conference procee

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發(fā)表于 2025-3-21 17:17:25 | 只看該作者 |倒序瀏覽 |閱讀模式
期刊全稱Artificial Intelligence for Knowledge Management
期刊簡稱Second IFIP WG 12.6
影響因子2023Eunika Mercier-Laurent,Mieczys?aw Lech Owoc,Daniel
視頻videohttp://file.papertrans.cn/163/162381/162381.mp4
發(fā)行地址Includes supplementary material:
學(xué)科分類IFIP Advances in Information and Communication Technology
圖書封面Titlebook: Artificial Intelligence for Knowledge Management; Second IFIP WG 12.6  Eunika Mercier-Laurent,Mieczys?aw Lech Owoc,Daniel Conference procee
影響因子This book features a selection of papers presented at the Second IFIP WG 12.6 International Workshop on Artificial Intelligence for Knowledge Management, AI4KM 2014, held in Wroclaw, Poland, in September 2014, in the framework of the Federated Conferences on Computer Science and Information Systems, FedCSIS 2014. The 9 revised and extended papers and one invited paper were carefully reviewed and selected for inclusion in this volume. They present new research and innovative aspects in the field of knowledge management and are organized in the following topical sections: tools and methods for knowledge acquisition; models and functioning of knowledge management; techniques of artificial intelligence supporting knowlege management; and components of knowledge flow.
Pindex Conference proceedings 2015
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Actuator Fault Diagnosis Using Single and Meta-Classification Strategies,udy is to compare either single or meta-classification strategies that can be successfully used as reasoning means in the diagnostic expert system that is realized within the frame of the DISESOR project. The applied research was conducted on the assumption that classic as well as soft computing cla
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Intelligent Association Rules for Innovative SME Collaboration,wledge capital have the fear to collaborate with other SMEs or bigger companies. This study aims to illuminate the preferences in customer, supplier and competitor collaboration within industry or inter industry. A survey is run on more than 110 companies and Machine Learning methods are used to def
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