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Data Management, Analytics and Innovation

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About

Data Management, Analytics and Innovation Synopsis

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 Gathering original, unpublished contributions by scientists from around the globe, the book is mainly intended for a professional audience of researchers and practitioners in academia and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.

About This Edition

ISBN: 9789811629365
Publication date: 20th September 2021
Author: Neha Sharma, Amlan Chakrabarti, Valentina Emilia Balas, Alfred M Bruckstein
Publisher: Springer an imprint of Springer Nature Singapore
Format: Paperback
Pagination: 536 pages
Series: Lecture Notes on Data Engineering and Communications Technologies
Genres: Artificial intelligence
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