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Titlebook: Enterprise Information Systems; 8th International Co Yannis Manolopoulos,Joaquim Filipe,José Cordeiro Conference proceedings 2008 Springer-

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发表于 2025-3-21 19:25:56 | 显示全部楼层 |阅读模式
书目名称Enterprise Information Systems
副标题8th International Co
编辑Yannis Manolopoulos,Joaquim Filipe,José Cordeiro
视频video
丛书名称Lecture Notes in Business Information Processing
图书封面Titlebook: Enterprise Information Systems; 8th International Co Yannis Manolopoulos,Joaquim Filipe,José Cordeiro Conference proceedings 2008 Springer-
描述This book contains the best papers of the 8th International Conference on Enterprise Information Systems (ICEIS 2006), held in the city of Paphos (Cyprus), organized by the Institute for Systems and Technologies of Information, Control and Communication (INSTICC) in collaboration with the University of Cyprus, Aristotle University of Thessaloniki and Athens University of Economics and Business. ICEIS has become a major point of contact between research scientists, engineers and practitioners in the area of business applications of information systems. This year, five simultaneous tracks were held, covering different aspects related to enterprise computing, including: “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.” All tracks focus on real world applications and highlight the benefits of Information Systems and Technology for industry and services, thus making a bridge between Academia and Enterprise. Following the success of 2005, ICEIS 2006 received 404 paper submissions from more than 40 countries spa
出版日期Conference proceedings 2008
关键词Internet; artificial intelligence; databases; decision support system; human-computer interaction (HCI);
版次1
doihttps://doi.org/10.1007/978-3-540-77581-2
isbn_softcover978-3-540-77580-5
isbn_ebook978-3-540-77581-2Series ISSN 1865-1348 Series E-ISSN 1865-1356
issn_series 1865-1348
copyrightSpringer-Verlag Berlin Heidelberg 2008
The information of publication is updating

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https://doi.org/10.1007/978-1-349-12328-5gradation along the propagation path. The solution we develop is a method that utilizes only normal query traffic in order to discover remote veiled peers with interesting information. Furthermore we intend to work on the dynamic exploitation of local knowledge for the general benefit of the P2P system.
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Skill-Profile Matching with Similarity Measuresupport streamlined and integrated, comprehensive personnel-development processes. A central element in the software architecture is ontology-based similarity assessment for skill-profile matching which is exemplarily discussed for software-supported project staffing.
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Ethics of Animal-Assisted Interventions,ven knowledge sharing. The knowledge in the approach is presented using formalism of object-oriented constraint networks. Application of the developed approach is demonstrated at two levels: (a) at the level of information integration within one company and (b) at the level of information integration across a networked organisation.
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https://doi.org/10.1057/9781137333629ccess measurement model. Essentially, two relevant success dimensions not included in the model proposed by Gable and colleagues [9] and [30] were incorporated and tested using criterion analysis and structural equation modeling technique. The implications of the study’s findings for practice and research are discussed.
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The Costs of International Tax Cooperation,e. Since such a computation is expensive, a naive generation of the index space from scratch at the occurrence of each observation fragment becomes prohibitive in real applications. To cope with this problem, the paper introduces an incremental technique for efficiently modeling and indexing temporal observations of DESs.
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https://doi.org/10.1057/9781137555298ng the nearest neighbors search applied by the CF to a set potentially highly similar users. Experimental evaluation demonstrates that the proposed approach is capable of generating accurate recommendations, while significantly improving the performance in comparison with the traditional implementation of the CF.
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