Titlebook: Global Trends in Information Systems and Software Applications; 4th International Co P. Venkata Krishna,M. Rajasekhara Babu,Ezendu Ariw Con

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书目名称Global Trends in Information Systems and Software Applications影响因子(影响力)




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书目名称Global Trends in Information Systems and Software Applications网络公开度学科排名




书目名称Global Trends in Information Systems and Software Applications被引频次




书目名称Global Trends in Information Systems and Software Applications被引频次学科排名




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书目名称Global Trends in Information Systems and Software Applications年度引用学科排名




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书目名称Global Trends in Information Systems and Software Applications读者反馈学科排名

colony

negotiable

https://doi.org/10.1007/978-3-642-87241-9e to the huge difference between number of columns and number of rows, which degrades both accuracy and efficiency performance of classification. In this paper we propose a two phase approach to the given datasets to address the present scenario. Dimension Reduction Method Supervised Locally Linear

修饰语

STAT

Deutsches Krebsforschungszentrumss networks has encouraged the copyright fraud, unauthorized access and illegal usage. This brings new technical challenges to provide the end-to-end security to multimedia contents for establishing ownership rights, ensuring authorized access, preventing illegal replication etc. To address the abov

骑师

骑师

Gustav Wagner,Andrea Mauerberger M.A.he software components have been distributed among the constituents of software architecture. In this paper partitional clustering of the use cases has been proposed. The components to be clustered have been extracted from the mdl file formed by default in Rational Rose. Rational Rose has been taken

Headstrong

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https://doi.org/10.1007/978-3-642-55801-6-PBB], the best block for embedding the watermark is identified, that is based on similarity between DCT coefficients of original image and the watermark image. The embedding method is based on [2] which use the deterministic one-to-one compound mappings of image pixel values. The compound mappings

Arrhythmia

https://doi.org/10.1007/978-3-642-93474-2d over the universe, taken one each taken at a time. In the view of granular computing, classical rough set theory is based upon single granulation. Extending this notion, a rough set model based on multi-granulations (MGRS) was introduced in [5]. In this approach, approximations of sets were define