Business Intelligence and Data Analytics: Proceedings of BIDA 2024

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· Smart innovation, systems, and technologies Ibhuku elingu-413 · Springer Nature
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This book is a collection of the high-quality research articles presented at the International Conference on Business Intelligence and Data Analytics (BIDA 2024), organized by RV Institute of Management (RVIM), Bengaluru, India, during April 2024. The book covers state-of-the-art research articles from the researchers and practitioners working in the field of business intelligence, data analytics, decision support systems, data warehousing and data mining, big data analytics, predictive and prescriptive analytics, and machine learning for business applications and their real-world applications.

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Dr. Abhishek Verma is a working as an assistant professor in the area of Management Information Systems at IIM Rohtak. He completed his Ph.D. from the Department of Industrial and Systems Engineering, Indian Institute of Technology Kharagpur. He received his Master of Technology (M. Tech) in Computer Science and Engineering from ABV-Indian Institute of Technology, Gwalior. Before joining IIM Rohtak, he has served as a faculty in GLA University, Mathura, and VIT University, Bhopal campus. His work is published in many reputed international journals, conferences, and book chapters. He is also a reviewer of many reputed journals and conferences. His area of research is Data Analytics, Text Mining, Occupational Safety, and Human Factors.
Dr. Justin Zhang teaches courses of Information Systems and Business Analytics in the Department of Management at University of North Florida. He received his Ph.D. in Business Administration with a concentration on Management Science and Information Systems from Pennsylvania State University, University Park. His research interests include economics of information systems, knowledge management, electronic business, business process management, information security, and social networking. He is the editor-in-chief of the Journal of Global Information Management, an ABET program evaluator, and an IEEE senior member. His areas of Expertise are Business Analytics, Economics Of Information Systems, Information Security, Knowledge Management, and Social Media.
Dr. Avinash Chandra Pandey is currently serving as an assistant professor in the Discipline of Computer Science & Engineering at PDPM Indian Institute of Information Technology, Design, and Manufacturing, Jabalpur (IIITDM), India. He did his Ph.D. in the field of data analytics under the supervision of Dr. Dharmveer Singh Rajpoot. His research areas include machine learning, text mining, and nature-inspired computing. He has over 9 years of research and teaching experience at UG and PG levels. He has published more than 40 research papers in international peer-reviewed journals of repute, national and international conferences in India and abroad, and 02 patents. He has also guided many Ph.D. (Ongoing 01), M.Tech. (Awarded 02, Ongoing 01), and B.Tech. (Project: Awarded 30) students. He is a reviewer for various government-funded projects and leading international journals of repute.

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