Intelligent Data Analytics in Business (eBook)

Select Proceedings of ICDABM 2022

Kiran Chaudhary, Mansaf Alam, Narayan C. Debnath (Herausgeber)

eBook Download: PDF

2023 | 2023
VIII, 194 Seiten
Springer Nature Singapore (Verlag)
978-981-99-5358-5 (ISBN)

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.

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.

Erscheint lt. Verlag	6.9.2023
Reihe/Serie	Lecture Notes in Electrical Engineering
Reihe/Serie	Lecture Notes in Electrical Engineering
Zusatzinfo	VIII, 194 p. 59 illus., 52 illus. in color.
Sprache	englisch
Themenwelt	Mathematik / Informatik ► Informatik ► Datenbanken
	Informatik ► Office Programme ► Outlook
	Informatik ► Theorie / Studium ► Künstliche Intelligenz / Robotik
	Mathematik / Informatik ► Mathematik ► Finanz- / Wirtschaftsmathematik
	Mathematik / Informatik ► Mathematik ► Statistik
	Technik
	Wirtschaft ► Betriebswirtschaft / Management ► Wirtschaftsinformatik
Schlagworte	Computer Science • conference proceedings • Data Analytics in Business • ICDABM 2022 • ICDABM Proceedings • Informatics • intelligent data
ISBN-10	981-99-5358-8 / 9819953588
ISBN-13	978-981-99-5358-5 / 9789819953585

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