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Titlebook: Data Management, Analytics and Innovation; Proceedings of ICDMA Neha Sharma,Amlan Chakrabarti,Alfred M. Bruckstein Conference proceedings 2

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書目名稱Data Management, Analytics and Innovation
副標(biāo)題Proceedings of ICDMA
編輯Neha Sharma,Amlan Chakrabarti,Alfred M. Bruckstein
視頻videohttp://file.papertrans.cn/263/262884/262884.mp4
概述Presents research works in the field of data management, analytics, and innovation.Provides results of ICDMAI 2021 held in Kolkata, India.Serves as a reference for researchers and practitioners in aca
叢書名稱Lecture Notes on Data Engineering and Communications Technologies
圖書封面Titlebook: Data Management, Analytics and Innovation; Proceedings of ICDMA Neha Sharma,Amlan Chakrabarti,Alfred M. Bruckstein Conference proceedings 2
描述This book presents the latest findings in the areas of data management and smart computing, machine learning, big data management, artificial intelligence, and data analytics, along with advances in network technologies. The book is a collection of peer-reviewed research papers presented at Fifth International Conference on Data Management, Analytics and Innovation (ICDMAI 2021),?held during January 15–17, 2021, in a virtual mode. It addresses state-of-the-art topics and discusses challenges and solutions for future development. Gathering original, unpublished contributions by scientists from around the globe, the book is mainly intended for a professional audience of researchers and practitioners in academia and industry..
出版日期Conference proceedings 2021
關(guān)鍵詞Algorithms and Models; Recommendation System; ANN and Deep Neural Networks; Data Storage; Data Warehouse
版次1
doihttps://doi.org/10.1007/978-981-16-2934-1
isbn_softcover978-981-16-2933-4
isbn_ebook978-981-16-2934-1Series ISSN 2367-4512 Series E-ISSN 2367-4520
issn_series 2367-4512
copyrightThe Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Singapor
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Creation of Knowledge Graph for Client Complaint Management Systemanaged properly, for instance, handling of microservices which contains numerous systems. Client Complaint Management System is one such application system in every company. The IT Customer Support Department handles the complaints/queries of the customers where managing existing databases for suppo
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Impact of Clustering Algorithms in Catastrophe Management: A Task-Technology Appropriate Perspectivee a powerful and full recovery, including an efficient rescue operation after such disasters. However, various forms of knowledge, data and information about the effects of the disaster are important for preparing an effective and immediate relief operation. Today, the machine learning algorithms av
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