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Titlebook: Advances in Computing and Intelligent Systems; Proceedings of ICACM Harish Sharma,Kannan Govindan,Wael M. El-Medany Conference proceedings

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https://doi.org/10.1007/978-981-19-6012-3uted processing is adopted. From so many mining tools options, it can be difficult for a researcher to opt an efficient tool. This paper is intended to aid the researcher who understands WEKA but is inexperienced with big data. The preliminary stage of data mining is classification, which categorize
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Codes of Ethics and CSR in China,mation private and should not be revealed in any way. The wide range of actors like businesses, government, NGOs, etc., are helping in the collection of huge data, storing it, analyzing it, and then sharing it with end users for the purpose of data analytics. Thus the privacy preservation becomes ve
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Multidisciplinary Approach to CSF Leakr testing methodology. However, optimal test paths generation is still an open area of research. Various bio-inspired meta-heuristic algorithms have been exploited for the same. In this paper, a new version of Moth-Flame Optimization (MFO) algorithm is proposed for the creation of test paths. Origin
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Carina Jasmin Englert,Natascha Kempken M.A.etc.) In this paper, we represent a method for the classification of tweets in five categories of each domain. The method is a text-based classification technique based on ensemble model of different classification algorithms.
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Program verification using dynamic logic,esigned for the meta-framework and bytecodes are rewritten for string operations in C++ and Java using arrays. It shows considerable improvement in the execution performance of meta-programs using strings compared to C++ and Java.
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