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Intelligent Data Analytics in Business: Select Proceedings of ICDABM 2022 de Kiran Chaudhary

Intelligent Data Analytics in Business: Select Proceedings of ICDABM 2022: Lecture Notes in Electrical Engineering, cartea 1068

Editat de Kiran Chaudhary, Mansaf Alam, Narayan C. Debnath
en Limba Engleză Hardback – 7 sep 2023
This book includes peer-reviewed contributions presented at the International Conference on Data Analytics in Business and Marketing, ICDABM 2022. The book covers topics in data analytics, intelligent data, data management in business and marketing, big data, computational intelligence, and communication networks. The book presents innovative work by leading academics, researchers, and experts from the industry, which is helpful for young researchers and students.

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Specificații

ISBN-13: 9789819953578
ISBN-10: 981995357X
Pagini: 194
Ilustrații: VIII, 194 p. 59 illus., 52 illus. in color.
Dimensiuni: 155 x 235 mm
Greutate: 0.5 kg
Ediția:1st ed. 2023
Editura: Springer Nature Singapore
Colecția Springer
Seria Lecture Notes in Electrical Engineering

Locul publicării:Singapore, Singapore

Cuprins

Chapter 1. Examining Socially Responsible Investing Behaviour of Individuals based on Expert Opinion using DEMATEL.- Chapter 2. Research on the Ecological Environment Evaluation of Technological Talents in the Shuangcheng Economic Circle of Chengdu Region.- Chapter 3. Current Landscape & Future Prospects of Community Healthcare Information System: A Conceptual study w.r.t Indian Healthcare.- Chapter 4. Fake News Detection Using Machine Learning.- Chapter 5. Status of basic Digital Tools Awareness among Women Vegetable Vendors and consequences-Hyderabad local markets.- Chapter 6. Influence of COVID-19 on Punjab Textile Industry.- Chapter 7. A New Transformation for Manufacturing Industries with Big Data Analytics and Industry 4.0.- Chapter 8. Analysis for Detection in MANETs: Security Perspective.- Chapter 9. Exploring the Role of Business Intelligence Systems in IoT-Cloud  Environment.- Chapter 10. Leading a Culturally Diverse Team in the Workplace.- Chapter 11. An Integrated Secure Blockchain and Deep Neural Network Framework for Better Agricultural Business Outcomes.- Chapter 12. ASCII Strip Based Novel Approach of Information Hiding in Frequency Domain.- Chapter 13. Investigating the Mediating Effect of EWOM While Exploring a Destination in Uttarakhand: A Tourist Perspective.- Chapter 14. Investigating the Factors that lead towards Intention to use Mobile commerce among Higher Education students.- Chapter 15. Strategic Plans for Market Campaign Using Machine Learning Algorithms.- Chapter 16. Gap Analysis of Electricity Demand and Supply in perspective of PROSUMERS of 5 KW Solar Rooftop Plants in Uttarakhand.

Notă biografică

Dr. Kiran Chaudhary is an Associate Professor in the Department of Commerce at Shivaji College, University of Delhi. She has fourteen years of Teaching and research experience. She has completed a Ph.D. in Marketing (Commerce) from Kurukshetra University, Kurukshetra, Haryana. Her area of research includes Big Data analytics, artificial intelligence, cyber security, marketing, human resource management, organisational behaviour, business, and corporate law. She has published a book on Probability and Statistics. She has published several research articles in reputed International Journals and the Proceedings of reputed International conferences. She delivered various National and International invited talks. She chaired a session at various International Conferences. She recently got an international patent (Australian) on An Artificial intelligence-based smart dustbin.

Prof. Mansaf Alam has been working as a Professor in the Department of Computer Science, Faculty of Natural Sciences, Jamia Millia Islamia. He is a Young Faculty Research Fellow, DeitY, Govt. of India Editor-in-Chief of the Journal of Applied Information Science. He has published several research articles in reputed International Journals and Proceedings at reputed International conferences published by IEEE, Springer, Elsevier Science, and ACM. His area of research includes Artificial Intelligence, Big Data Analytics, Machine Learning and Deep Learning, Cloud Computing, and Data Mining. He is a reviewer of various journals of International repute, like Information Science, published by Elsevier Science. He is also a member of the program committee of various reputed International conferences. He recently got an International Patent (Australian) on An Artificial intelligence-based smart dustbin to his credit.

Prof. Narayan Chandra Debnath is the founding Dean of the School of Computing and Information Technology at Eastern International University Vietnam, Director and Past President of the International Society for Computers and their Applications (ISCA) at Winona, Minnesota, USA, and former Professor and Chairperson of Computer Science at Winona State University, Winona, Minnesota, USA. He is presently working as Head, Department of Software Engineering at Eastern International University Vietnam. He has published over 450 research papers, ten books, and edited 20 Journals and Conference Proceedings. He has given over 300 Technical Presentations and attended Over 190 conferences. He has also organised and chaired over 80 sessions and completed various research projects. He received various International honours and awards and delivered various invited talks.

Textul de pe ultima copertă

This book includes peer-reviewed contributions presented at the International Conference on Data Analytics in Business and Marketing, ICDABM 2022. The book covers topics in data analytics, intelligent data, data management in business and marketing, big data, computational intelligence, and communication networks. The book presents innovative work by leading academics, researchers, and experts from the industry, which is helpful for young researchers and students.

Caracteristici

Covers data analytics, intelligent data, data management in business and marketing, and big data Enriches understanding by including contributions from leading experts across the globe Comprises select peer-reviewed proceedings of the conference ICDABM 2022