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Titlebook: Enterprise Information Systems; 13th International C Runtong Zhang,Juliang Zhang,José Cordeiro Conference proceedings 2012 Springer-Verlag

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樓主
發(fā)表于 2025-3-21 18:09:45 | 只看該作者 |倒序瀏覽 |閱讀模式
書目名稱Enterprise Information Systems
副標題13th International C
編輯Runtong Zhang,Juliang Zhang,José Cordeiro
視頻videohttp://file.papertrans.cn/312/311464/311464.mp4
概述Fast track proceedings
叢書名稱Lecture Notes in Business Information Processing
圖書封面Titlebook: Enterprise Information Systems; 13th International C Runtong Zhang,Juliang Zhang,José Cordeiro Conference proceedings 2012 Springer-Verlag
描述.This book contains substantially extended and revised versions of the best papers from the 13th International Conference on Enterprise Information Systems (ICEIS 2011), held in Beijing, China, June 8-11, 2011..?.The 27 papers included (plus one invited paper) in this volume were carefully reviewed and selected from 57 full papers presented at the conference (out of 402 submissions). They reflect state-of-the-art research that is often driven by real-world applications, thus successfully relating the academic with the industrial community. The topics covered are: databases and information systems integration, artificial intelligence and decision support systems, information systems analysis and specification, software agents and Internet computing, and human-computer interaction.
出版日期Conference proceedings 2012
關(guān)鍵詞BPM - business process management; agent-based e-commerce; data integration; decision support systems; e
版次1
doihttps://doi.org/10.1007/978-3-642-29958-2
isbn_softcover978-3-642-29957-5
isbn_ebook978-3-642-29958-2Series ISSN 1865-1348 Series E-ISSN 1865-1356
issn_series 1865-1348
copyrightSpringer-Verlag Berlin Heidelberg 2012
The information of publication is updating

書目名稱Enterprise Information Systems影響因子(影響力)




書目名稱Enterprise Information Systems影響因子(影響力)學科排名




書目名稱Enterprise Information Systems網(wǎng)絡公開度




書目名稱Enterprise Information Systems網(wǎng)絡公開度學科排名




書目名稱Enterprise Information Systems被引頻次




書目名稱Enterprise Information Systems被引頻次學科排名




書目名稱Enterprise Information Systems年度引用




書目名稱Enterprise Information Systems年度引用學科排名




書目名稱Enterprise Information Systems讀者反饋




書目名稱Enterprise Information Systems讀者反饋學科排名




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沙發(fā)
發(fā)表于 2025-3-21 23:34:30 | 只看該作者
Conference proceedings 2012real-world applications, thus successfully relating the academic with the industrial community. The topics covered are: databases and information systems integration, artificial intelligence and decision support systems, information systems analysis and specification, software agents and Internet computing, and human-computer interaction.
板凳
發(fā)表于 2025-3-22 02:53:59 | 只看該作者
ntroduces simulation-based methods for the exploitation of the opponent’s play. Participation in the 2010 . shows that . has a lot of potential but suffers from a vulnerable opponent modeling strategy.
地板
發(fā)表于 2025-3-22 07:07:32 | 只看該作者
1865-1348 nce on Enterprise Information Systems (ICEIS 2011), held in Beijing, China, June 8-11, 2011..?.The 27 papers included (plus one invited paper) in this volume were carefully reviewed and selected from 57 full papers presented at the conference (out of 402 submissions). They reflect state-of-the-art r
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發(fā)表于 2025-3-22 09:55:50 | 只看該作者
Conference proceedings 2012stems (ICEIS 2011), held in Beijing, China, June 8-11, 2011..?.The 27 papers included (plus one invited paper) in this volume were carefully reviewed and selected from 57 full papers presented at the conference (out of 402 submissions). They reflect state-of-the-art research that is often driven by
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https://doi.org/10.1007/978-981-10-1911-1cialized tools. Hence, the interconnection of tools is the only way, because otherwise the achievable prediction accuracy would be insufficient. In this chapter, a framework is presented that helps to interconnect heterogeneous simulation tools, considering their incompatible file formats, different semantics of data and missing data consistency.
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發(fā)表于 2025-3-22 23:52:56 | 只看該作者
Evhen Tsybulenko,Bogdan Kelichavyints the PAR-COM methodology that, by combining clustering and objective measures, reduces the association rule exploration space directing the user to what is potentially interesting. An experimental study demonstrates the potential of PAR-COM to minimize the user’s effort during the post-processing process.
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