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

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書目名稱Knowledge-Based and Intelligent Information and Engineering Systems, Part III
副標(biāo)題15th International C
編輯Andreas K?nig,Andreas Dengel,Lakhmi C. Jain
視頻videohttp://file.papertrans.cn/545/544234/544234.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 III; 15th International C Andreas K?nig,Andreas Dengel,Lakhmi C.
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 3: The total of 244 high-quality papers presented were carefully reviewed and selected from numerous submissions. The 67 papers of Part 3 are organized in topical sections on skill acquisition and ubiquitous human computer interaction, intelligent network and service, management technologies from the perspective of kansei engineering and emotion, data mining and service science for innovation, knowledge-based systems for e-business, knowledge engineering applications in process systems and plant operations, advanced design techniques for adaptive hardware and systems, human-oriented learning technology and learning support environment, design of social intelligence and creativity environment.
出版日期Conference proceedings 2011
關(guān)鍵詞intelligent tutoring systems; process modeling; software engineering; ubiquitous computing; web intellig
版次1
doihttps://doi.org/10.1007/978-3-642-23854-3
isbn_softcover978-3-642-23853-6
isbn_ebook978-3-642-23854-3Series 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
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Designing Mobile Search Interface with Query Term Extractionon using first query term extraction from browsed Web pages [1]. This paper reports on a preliminary experiment that we conducted with 50 subjects in order to design the interface of the application. The results of the experiment indicate that although providing query term candidates to users reduce
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