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Titlebook: Knowledge-Based and Intelligent Information and Engineering Systems, Part IV; 15th International C Andreas K?nig,Andreas Dengel,Lakhmi C. J

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發(fā)表于 2025-3-21 17:12:21 | 只看該作者 |倒序瀏覽 |閱讀模式
書目名稱Knowledge-Based and Intelligent Information and Engineering Systems, Part IV
副標(biāo)題15th International C
編輯Andreas K?nig,Andreas Dengel,Lakhmi C. Jain
視頻videohttp://file.papertrans.cn/545/544239/544239.mp4
概述Up-to-date results.Fast track conference proceedings.State-of-the-art report
叢書名稱Lecture Notes in Computer Science
圖書封面Titlebook: Knowledge-Based and Intelligent Information and Engineering Systems, Part IV; 15th International C Andreas K?nig,Andreas Dengel,Lakhmi C. J
描述The four-volume set LNAI 6881-LNAI 6884 constitutes the refereed proceedings of the 15th International Conference on Knowledge-Based Intelligent Information and Engineering Systems, KES 2011, held in Kaiserslautern, Germany, in September 2011. Part 4: The total of 244 high-quality papers presented were carefully reviewed and selected from numerous submissions. The 46 papers of Part 4 are organized in topical sections on human activity support in knowledge society, knowledge-based interface systems, model-based computing for innovative engineering, document analysis and knowledge science, immunity-based systems, natural language visualisation advances in theory and application of hybrid intelligent systems.
出版日期Conference proceedings 2011
關(guān)鍵詞knowlege management; recommender system; strategic management; user modeling; wireless network managemen
版次1
doihttps://doi.org/10.1007/978-3-642-23866-6
isbn_softcover978-3-642-23865-9
isbn_ebook978-3-642-23866-6Series ISSN 0302-9743 Series E-ISSN 1611-3349
issn_series 0302-9743
copyrightThe Editor(s) (if applicable) and The Author(s), under exclusive license to Springer-Verlag GmbH, DE
The information of publication is updating

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Knowledge-Based and Intelligent Information and Engineering Systems, Part IV978-3-642-23866-6Series ISSN 0302-9743 Series E-ISSN 1611-3349
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From Context to Context-Awareness: Model-Based User Classification for Efficient Multicastingw available information enables self-optimization in wireless networks by designing according models. The chosen application scenario, classifying and grouping users and thus facilitating group-based multicasting, demonstrates the feasibility and the effectiveness of the described approach.
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Introducing Specialization and Generalization to a Graph-Based Data Modelialization and generalization relationships to be dynamically added, and removed. The methods of modifying these relationships are precisely presented. The schema graph enables us to systematize and reuse knowledge with keeping the structure flexible.
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