Druck auf Anfrage Neuware - Printed after ordering - This book covers sustainable development in smart society's 5.0 using data analytics. The data analytics is the approach of integrating diversified heterogeneous data for predictive analysis to accredit innovation, decision making, business analysis, and strategic decision making. The data science brings together the research in the field of data analytics, online information analytics, and big data analytics to synthesize issues, challenges, and opportunities across smart society 5.0. Accordingly, the book offers an interesting and insightful read for researchers in the areas of decision analytics, cognitive analytics, big data analytics, visual analytics, text analytics, spatial analytics, risk analytics, graph analytics, predictive analytics, and analytics-enabled applications.

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Bibliographic Details

Title: Decision Analytics for Sustainable Development in Smart Society 5.0 : Issues, Challenges and Opportunities
Publisher: Springer, Springer
Publication Date: 2022
Language: English
ISBN 10: 9811916888
ISBN 13: 9789811916885
Binding: Buch
Condition: Neu
Dimensions: 241 millimeters width by 160 millimeters height by 25 millimeters depth
Weight: 682 grams

About this title

Synopsis

This book covers sustainable development in smart society’s 5.0 using data analytics. The data analytics is the approach of integrating diversified heterogeneous data for predictive analysis to accredit innovation, decision making, business analysis, and strategic decision making. The data science brings together the research in the field of data analytics, online information analytics, and big data analytics to synthesize issues, challenges, and opportunities across smart society 5.0. Accordingly, the book offers an interesting and insightful read for researchers in the areas of decision analytics, cognitive analytics, big data analytics, visual analytics, text analytics, spatial analytics, risk analytics, graph analytics, predictive analytics, and analytics-enabled applications.

About the Author

Vikram Bali is Director of IMS Engineering College, Ghaziabad, India. He has more than 20 years of rich academic and administrative experience. He has published more than 50 research papers in international journals/ conferences, and has edited and authored text books to his credit. Additionally, he has published five patents. Dr. Bali is on the editorial board and on review panel of many international journals, and is series editor for three book series of top international publishers. He was awarded the Green Thinker Z- Distinguished Educator Award 2018 for remarkable contribution in the field of Computer Science and Engineering at the Third International Convention on Interdisciplinary Research for Sustainable Development (IRSD) at the Confederation of Indian Industry (CII). His research interest includes cyber security, automata theory, CBSS, and ERP.

Vishal Bhatnagar has more than 21 years of teaching experience in various technical institutions. He iscurrently working as Professor in Computer Science & Engineering Department at Netaji Subhash University of Technology (East Campus), formerly Ambedkar Institute of Advanced Communication Technologies & Research, Delhi, India. His research interests include database, advance database, data warehouse, data-mining, social network analysis, data science, and big data analytics. He has to his credit more than 120 research papers in various international journals, conferences, and chapters. He is currently working as Associate Editor of few journals of IGI Global and Inderscience. He has guest edited special issues of many Scopus-indexed journals. He is also Series Editor of Handling Data Science Problems and Solutions.

Joan Lu is in the Department of Computer Science and is Research Group Leader of Information and System Engineering (ISE) in the Centre of High Intelligent Computing (CHIC), having previously been team leader in the IT department of Charlesworth Group publishing company. She has published seven academic books and more than 200 peer-reviewed academic papers. Her research publications have 1388 reads and 185 citations by international colleagues, according to incomplete statistics from the research gate. She has acted as Founder and Program Chair for the International XML Technology Workshop for 11 years and serves as Chair of various international conferences. She is Founder and Editor in Chief of International Journal of Information Retrieval Research and serves as a BCS examiner of Database and Advanced Database Management Systems, and is an FHEA. She has been the UOH principle investigator for four recent EU interdisciplinary (computer science and psychology) projects.

Kakoli Banerjee is heading the Department of Computer Science and Engineering, JSS Academy of Technical Education, Noida, India. Prior to her 18 years in academia, she has three years of industry experience.Her papers have been published in international journals of repute indexed in Scopus, ESCI, and other eminent databases. Currently, she is working for a funded projects, sanctioned by the Collaborative Research and Innovation Program (CRIP) under TEQIP- 3 by Dr. A. P. J. Abdul, Kalam Technical University Uttar Pradesh, Lucknow. She has been a reviewer and guest editor of several reputed journals and books. She has a Granted Patent to her name and one published. She has developed video content for subjects like Operating System and Database Management System for public universities and for government websites. She has published a book on Industry 4.0 by a leading international publisher.

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