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Neha Sharma - Data Management, Analytics and Innovation: Proceedings of ICDMAI 2021

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Neha Sharma Data Management, Analytics and Innovation: Proceedings of ICDMAI 2021

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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 1517, 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 Gathering original, unpublished contributions by scientists from around the globe, the book is mainly intended for a professional audience of researchers and practitioners in academia and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.

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Book cover of Data Management Analytics and Innovation Volume 70 Lecture - photo 1
Book cover of Data Management, Analytics and Innovation
Volume 70
Lecture Notes on Data Engineering and Communications Technologies
Series Editor
Fatos Xhafa
Technical University of Catalonia, Barcelona, Spain

The aim of the book series is to present cutting edge engineering approaches to data technologies and communications. It will publish latest advances on the engineering task of building and deploying distributed, scalable and reliable data infrastructures and communication systems.

The series will have a prominent applied focus on data technologies and communications with aim to promote the bridging from fundamental research on data science and networking to data engineering and communications that lead to industry products, business knowledge and standardisation.

Indexed by SCOPUS, INSPEC, EI Compendex.

All books published in the series are submitted for consideration in Web of Science.

More information about this series at http://www.springer.com/series/15362

Editors
Neha Sharma , Amlan Chakrabarti , Valentina Emilia Balas and Alfred M. Bruckstein
Data Management, Analytics and Innovation
Proceedings of ICDMAI 2021, Volume 1
1st ed. 2021
Logo of the publisher Editors Neha Sharma Analytics and Insights Tata - photo 2
Logo of the publisher
Editors
Neha Sharma
Analytics and Insights, Tata Consultancy Services, Pune, India
Amlan Chakrabarti
A.K.Choudhury School of Information Technology, Kolkota, West Bengal, India
Valentina Emilia Balas
Aurel Vlaicu University of Arad, Arad, Romania
Alfred M. Bruckstein
Faculty of Computer Science, Technion Israel Institute of Technology, Haifa, Israel
ISSN 2367-4512 e-ISSN 2367-4520
Lecture Notes on Data Engineering and Communications Technologies
ISBN 978-981-16-2933-4 e-ISBN 978-981-16-2934-1
https://doi.org/10.1007/978-981-16-2934-1
The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2021
This work is subject to copyright. All rights are solely and exclusively licensed by the Publisher, whether the whole or part of the material is concerned, specifically the rights of translation, reprinting, reuse of illustrations, recitation, broadcasting, reproduction on microfilms or in any other physical way, and transmission or information storage and retrieval, electronic adaptation, computer software, or by similar or dissimilar methodology now known or hereafter developed.
The use of general descriptive names, registered names, trademarks, service marks, etc. in this publication does not imply, even in the absence of a specific statement, that such names are exempt from the relevant protective laws and regulations and therefore free for general use.
The publisher, the authors and the editors are safe to assume that the advice and information in this book are believed to be true and accurate at the date of publication. Neither the publisher nor the authors or the editors give a warranty, expressed or implied, with respect to the material contained herein or for any errors or omissions that may have been made. The publisher remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

This Springer imprint is published by the registered company Springer Nature Singapore Pte Ltd.

The registered company address is: 152 Beach Road, #21-01/04 Gateway East, Singapore 189721, Singapore

Preface

These two volumes constitute the proceedings of the International Conference on Data Management, Analytics and Innovation (ICDMAI 2021) held from 1517 January 2021 on a virtual platform due to pandemic. ICDMAI is a signature conference of Society for Data Science (S4DS) which is a not-for-profit professional association established to create a collaborative platform for bringing together technical experts across industry, academia, government laboratories and professional bodies to promote innovation around data science. ICDMAI is committed to create a forum which brings data science enthusiasts on the same page and envisions its role towards its enhancement through collaboration, innovative methodologies and connections throughout the globe.

This year is special, as we have completed 5 years, and it gives us immense satisfaction to put on record that we could successfully create a strong data science ecosystem. In these 5 years, we could bring 50 doyens of data science as keynote speakers and another set of 50 technical experts contributed towards workshops and tutorials. Besides, we could engage around 200 experts as reviewers and session chairs. Till date, we have received around 2093 papers from 42 countries, out of which 361 papers have been presented and published, which is just (17%) of submitted paper. Now, coming to the specifics of this year, we witnessed participants from 13 countries, 15 industries, 121 international and Indian universities. Total 63 papers were selected after rigorous review process for oral presentation, and the Best Paper Awards were given for each track.

We tried our best to bring a bouquet data science through various workshops, tutorials, keynote sessions, plenary talks, panel discussion and paper presentations by the experts at ICDMAI 2021. The chief guest of the conference was Prof. Ashutosh Sharma, Secretary DST, Govt. of India, and guest of honours were Prof. Anupam Basu, Director, NIT Durgapur, and Mr. Ravinder Pal Singh, CEO, MerkhadoRHA & GoKaddal, Honour. Keynote speakers were the top-level experts like Phillip G. Bradford, Director, Computer Science program, University of Connecticut, Stamford; Sushmita Mitra, IEEE Fellow and Professor, Machine Intelligence Unit, Indian Statistical Institute, Kolkata; Sandeep Shukla, IEEE Fellow and Professor, Department of CSE, Indian Institute of Technology, Kanpur, Uttar Pradesh; Regiane Relva Romano, Special Adviser to the Ministry of Science, Technology and Innovation, Brazil; Yogesh Kulkarni, Principal Architect (CTO Office), Icertis-Pune; Dr. Aloknath De, Corporate Vice President of Samsung Electronics, S. Korea, and Chief Technology Officer of Samsung R&D Institute India, Bangalore; Sourabh Mukherjee, Vice President, Data and Artificial Intelligence Group, Accenture; Pallab Dasgupta, Professor, Department of Computer Science and Engineering, IIT Kharagpur; Alfred M. Bruckstein, TechnionIsrael Institute of Technology, Faculty of Computer Science, Israel. Pre-conference was conducted by Dipanjan (DJ) Sarkar, Data Science Lead at Applied Materials; Usha Rengaraju, Polymath and Indias first women Kaggle Grandmaster; Avni Gupta, Senior Data AnalystIoT, Netradyne; Kranti Athalye, Sr. Manager University Relations, IBM; Sonali Dey, Business Operations Manager, IBM; Amol Dhondse, Senior Technical Staff Member, IBM; Vandana Verma Sehgal, Security Solutions Architect, IBM. All the experts took the participants through various perspectives of data and analytics.

The force behind organizing ICDMAI 2021 was of the General Chair Dr. P. K. Sinha, Vice Canceller and Director, IIIT New Raipur; Prof. Amol Goje, President-S4DS; Prof. Amlan Charabarti, Vice President-S4DS; Dr. Neha Sharma, Secretary-S4DS, Executive Body Members of S4DSDr. Inderjit Barara, Dr. Saptarsi Goswami, Mr. Atul Benegiri and all the super-active volunteers. There was a strong support from our Technical PartnerIBM; Knowledge PartnerWizer; Academic PartnersIIT Guwahati and NIT Durgapur; and publication partner Springer. Through this conference, we could build the strong data science ecosystem.

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