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Titlebook: Innovations and Advances in Computer Sciences and Engineering; Tarek Sobh Conference proceedings 2010 Springer Science+Business Media B.V.

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書目名稱Innovations and Advances in Computer Sciences and Engineering
編輯Tarek Sobh
視頻videohttp://file.papertrans.cn/467/466988/466988.mp4
概述All communications between the authors, reviewers, and conference organizing committee were done online, which permitted a short six week period from the paper submission deadline to the beginning of
圖書封面Titlebook: Innovations and Advances in Computer Sciences and Engineering;  Tarek Sobh Conference proceedings 2010 Springer Science+Business Media B.V.
描述.Innovations and Advances in Computer Sciences and Engineering includes a set of rigorously reviewed world-class manuscripts addressing and detailing state-of-the-art research projects in the areas of Computer Science, Software Engineering, Computer Engineering, and Systems Engineering and Sciences. ..Innovations and Advances in Computer Sciences and Engineering includes selected papers form the conference proceedings of the International Conference on Systems, Computing Sciences and Software Engineering (SCSS 2008) which was part of the International Joint Conferences on Computer, Information and Systems Sciences and Engineering (CISSE 2008)..
出版日期Conference proceedings 2010
關(guān)鍵詞Information Technology; Programming Languages; Systems Sciences; book3; cisse09; computer; computer engine
版次1
doihttps://doi.org/10.1007/978-90-481-3658-2
isbn_softcover978-94-007-9108-4
isbn_ebook978-90-481-3658-2
copyrightSpringer Science+Business Media B.V. 2010
The information of publication is updating

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,Relative Ranking – A Biased Rating,nking system should be measured by how effectively the system helps customers make decisions that they, retrospectively, consider correct. This paper argues and suggests a novel approach of Relative Ranking within the boundaries of star rating system to overcome a few inherent disadvantages the former system comes with.
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Integrating Text Mining and Genetic Algorithm for Subject Selection,egrating text mining and specific GA mechanisms is implemented. Experiments and test runs with randomly generated excess population of chromosomes indicated a fair degree of success in this implementation.
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