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Titlebook: Computer and Information Science; Roger Lee,Haeng-Kon Kim Book 2008 Springer-Verlag Berlin Heidelberg 2008 Algorithmic Techniques.Computat

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https://doi.org/10.1007/978-1-4302-0336-0 and aggregate information in a group of people. If prediction markets are to improve management information they need to outperform traditional forecasting methods such as surveys. However, there is little empirical evidence of their accuracy in comparison to forecasting methods such as surveys. Th
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https://doi.org/10.1007/978-1-4302-0336-0ng interoperability between systems. But even so, its service registry lack of non-syntactic information prohibits agents making this framework available for a wider range of applications. This paper proposes an agent-based novel architecture with a semantic in-memory OSGi service registry based on
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https://doi.org/10.1007/978-1-4302-0336-0onments. SOA, however, has an inherent limitation: there is no specific method associated with it. Thus, there are no definitive answers to support those enterprises..In this paper, we propose Xplus with the use of Agile methodologies as a framework for SOA-based applications. The employment of thes
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Adobe Integrated Runtime (AIR),common functionalities of these network management systems, a platform for network management systems was developed by KT, on which future network management systems could be developed on the platform. However, in the process of the development, it was discovered that the reusability of platform mod
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Formatting and Cascading Style Sheets, color, and other information that can be extracted from the image. CBIR is also referred to as query by image contents. As large image collections being created and become available, more and more applications rely on CBIR techniques to retrieve images from the collections. One important applicatio
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https://doi.org/10.1007/978-1-4302-0566-1 generalization of Modus Ponens, known as Generalized Modus Ponens (GMP). Its principle is that from an observation different but approximately equal to the rule premise, we can deduce a fact approximately equal to the rule conclusion. We propose a generalization of the approximate reasoning axiomat
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