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Titlebook: Emerging Technologies in Data Mining and Information Security; Proceedings of IEMIS Aboul Ella Hassanien,Siddhartha Bhattacharyya,Soum Conf

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書(shū)目名稱(chēng)Emerging Technologies in Data Mining and Information Security
副標(biāo)題Proceedings of IEMIS
編輯Aboul Ella Hassanien,Siddhartha Bhattacharyya,Soum
視頻videohttp://file.papertrans.cn/309/308444/308444.mp4
概述Presents recent research in the field of data mining and information security.Discusses the outcomes of IEMIS 2020, held in Kolkata, India.Serves as a reference resource for researchers and practition
叢書(shū)名稱(chēng)Advances in Intelligent Systems and Computing
圖書(shū)封面Titlebook: Emerging Technologies in Data Mining and Information Security; Proceedings of IEMIS Aboul Ella Hassanien,Siddhartha Bhattacharyya,Soum Conf
描述This book features research papers presented at the International Conference on Emerging Technologies in Data Mining and Information Security (IEMIS 2020) held at the University of Engineering & Management, Kolkata, India, during July 2020. The book is organized in three volumes and includes high-quality research work by academicians and industrial experts in the field of computing and communication, including full-length papers, research-in-progress papers and case studies related to all the areas of data mining, machine learning, Internet of things (IoT) and information security.
出版日期Conference proceedings 2021
關(guān)鍵詞Information Retrieval; Pattern Recognition; Data Science and Data Analytics; Network Security & Telecom
版次1
doihttps://doi.org/10.1007/978-981-33-4367-2
isbn_softcover978-981-33-4366-5
isbn_ebook978-981-33-4367-2Series ISSN 2194-5357 Series E-ISSN 2194-5365
issn_series 2194-5357
copyrightThe Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Singapor
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https://doi.org/10.1007/978-3-319-21443-6diction analysis. In this work, the process of prediction analysis is divided into two phases which are clustering and classification. .-mean clustering is applied to cluster head and output of clustering is given as input to SVM classifier for the classification. In order to increase the accuracy o
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https://doi.org/10.1007/978-94-010-3057-1cer like its contemporaries becomes very lethal if it’s diagnosed at a late stage and probability of the patient surviving reduces to a large extent. Thus, it becomes imperative to diagnose such a problem at an earlier stage so that the patient can be cured from skin cancer. In this paper, we have c
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Wolfgang Kemmler PhD,Simon von Stengel PhDNA). 2D chaotic map has generated the several key sequences for encryption, and DNA rules are applied to perform fast block encryption of image. Nonlinearity of 2D chaotic map and complexity of DNA sequences are used to perform highly secure image encryption. The experimental outputs illustrate the
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The Advertising Decision of the Firm is the most comfortable one. Here, it comes with the necessity of voice recognition system. Recently, researchers are really focusing on developing voice recognition systems with the help of machine learning and deep learning algorithms. And for that, researchers need a large amount of audio data.
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