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Titlebook: Emerging Technologies in Data Mining and Information Security; Proceedings of IEMIS Ajith Abraham,Paramartha Dutta,Soumi Dutta Conference p

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書目名稱Emerging Technologies in Data Mining and Information Security
副標題Proceedings of IEMIS
編輯Ajith Abraham,Paramartha Dutta,Soumi Dutta
視頻videohttp://file.papertrans.cn/309/308452/308452.mp4
概述Comprises original research work by academics, scientists, and research scholars as well as professionals, decision makers, and industrial practitioners.Inspires young scholars to discover newly creat
叢書名稱Advances in Intelligent Systems and Computing
圖書封面Titlebook: Emerging Technologies in Data Mining and Information Security; Proceedings of IEMIS Ajith Abraham,Paramartha Dutta,Soumi Dutta Conference p
描述.The book features research papers presented at the International Conference on Emerging Technologies in Data Mining and Information Security (IEMIS 2018) held at the University of Engineering & Management, Kolkata, India, on February 23–25, 2018. It comprises high-quality research by academics and industrial experts in the field of computing and communication, including full-length papers, research-in-progress papers, case studies related to all the areas of data mining, machine learning, IoT and information security..
出版日期Conference proceedings 2019
關(guān)鍵詞Data Science; Information Security; Artificial Intelligence; Cognitive Science; Computer Graphics; Roboti
版次1
doihttps://doi.org/10.1007/978-981-13-1498-8
isbn_softcover978-981-13-1497-1
isbn_ebook978-981-13-1498-8Series ISSN 2194-5357 Series E-ISSN 2194-5365
issn_series 2194-5357
copyrightSpringer Nature Singapore Pte Ltd. 2019
The information of publication is updating

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Nonlinear Optimization and Applicationsd 89.7% accuracy to predict the accepted answer by utilizing the textual metadata as a feature. We have also deployed our recommendation system web application, which is publicly accessible: .. We also deployed our system as Facebook Messenger Bot Application, which is accessible at ., for helping t
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Nonlinear Isochronous Oscillators, ground. Though optimality of the path is not guaranteed with respect to fruit distribution, usage of Mahalanobis distance model has significantly reduced the time spent by fruits lying in the floor. The presented results are promising for the usage of automated robots to collect fruits. This will l
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Data Analytic Techniques with Hardware-Based Encryption for High-Profile Dataset to create contents freely and amplify the already huge web volume. In today’s businesses, there are few things to keep in mind while beginning big data and analytics innovation projects. The need of secured data analytics tool is mandatory for the business world. So, in the proposed model, major in
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Exploring Student Migration in Rural Region of Bangladeshs between both the groups and the migration frequency and with the help of student t test and effective data visualization, locations were categorized to sort out the locations where migration is more frequent and the migration is yielding good grade points.
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