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Titlebook: Emerging Technologies in Data Mining and Information Security; Proceedings of IEMIS Paramartha Dutta,Satyajit Chakrabarti,Celia Shahna Conf

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發(fā)表于 2025-3-21 17:13:49 | 只看該作者 |倒序瀏覽 |閱讀模式
書目名稱Emerging Technologies in Data Mining and Information Security
副標題Proceedings of IEMIS
編輯Paramartha Dutta,Satyajit Chakrabarti,Celia Shahna
視頻videohttp://file.papertrans.cn/309/308449/308449.mp4
概述Presents recent research in the field of data mining and information security.Discusses the outcomes of IEMIS 2022, held in Kolkata, India.Serves as a reference resource for researchers and practition
叢書名稱Lecture Notes in Networks and Systems
圖書封面Titlebook: Emerging Technologies in Data Mining and Information Security; Proceedings of IEMIS Paramartha Dutta,Satyajit Chakrabarti,Celia Shahna Conf
描述.This book features research papers presented at the International Conference on Emerging Technologies in Data Mining and Information Security (IEMIS 2022) held at Institute of Engineering & Management, Kolkata, India, during 23–25 February 2022.?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 2023
關(guān)鍵詞Information Retrieval; Pattern Recognition; Data Science and Data Analytics; Network Security & Telecom
版次1
doihttps://doi.org/10.1007/978-981-19-4052-1
isbn_softcover978-981-19-4051-4
isbn_ebook978-981-19-4052-1Series ISSN 2367-3370 Series E-ISSN 2367-3389
issn_series 2367-3370
copyrightThe Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Singapor
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IOT Security: Recent Trends and Challengese usage of multiple technologies like Artificial Intelligence, Machine Learning, Data Mining methods, etc., there is a need to provide proper security to the IoT system also. Several layers used in the IoT architecture need to be protected. Hence, there is a need to make a robust system in order to
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Assistive Technology for Pedagogical Support and Application of Data Analysis in Neurodevelopmental me efficiently. Computer-assisted pedagogical support may be finely tailored to serve children as well as educators across the disability spectrum in special education setup. In this paper, the authors aim to review the major existing research works carried out in this field of EDM at international
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Startup Profit Predictor Using Machine Learning Techniquesre done. The data was split for training and testing and the score of the model obtained on the test dataset was 0.9691. The startup profit predictor was successfully built using random forest regressor model and it can be used for making profit predictions with 96.91% accuracy.
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Right to Be Forgotten in a Post-AI World: How Effective is This Right Where Machines Do not Forget?s details regarding the usage of the data. In this paper, the authors have analysed the right to be forgotten in the context of AI and explored legal provisions in the light of how far this right can be exercised with AIs.
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