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The book investigates the correlation between computational optimization methods, data science, machine learning, and mathematical analysis. This book provides profound insights into the mathematical analysis of machine learning models. In this book, case studies are presented in a variety of disciplines, such as healthcare , finance , and e-commerce. The latter illustrates the practical implementations of optimisation in the selection of features, hyperparameters, and models. Practical observations regarding the evaluation and enhancement of machine learning models in real-world scenarios, including agriculture, e-commerce, healthcare, and financial portfolio management, are included in this publication. This publication is intended for researchers, engineers, mathematicians, and computer scientists. The goal is to improve the utilisation of computational optimisation techniques in real-time scenarios by integrating theoretical concepts with practical applications.
Über den Autor / die Autorin
Dr. Narinder Kaur is an Associate Professor in The Department of Computer Science & Engineering at Chandigarh University, Punjab, India. Dr. Kaur possesses her Master and Ph.D. degree in Computer Science, but she believes in the philosophy of interdisciplinary research. She is having more than 15 years of experience which includes teaching, research, industry, and academic administration. Her major research interests are Data Science, Machine Learning and E-Government. She has published various research papers in International Conference and articles in national and international journals.
Dr. Bobbinpreet Kaur is currently working as a Professor in The Department of Computer Science & Engineering at Chandigarh University, Punjab, India. She has more than 15 years of experience, which includes teaching, research, and academic administration. Her major research interests are Image Processing, Machine Learning, and Digital Circuit design. She has attended various workshops and hosted number of special sessions in international conferences. She has published various research papers and articles in national and international journals, and the papers are being widely cited by various stakeholders across the world.
Dr. Yonis Gulzar is an esteemed Associate Professor in the Department of Management Information Systems at King Faisal University, Saudi Arabia. He earned his Ph.D. in Computer Science from the Faculty of Kulliyyah of Information and Communication Technology at the International Islamic University Malaysia. Since 2015, Dr. Gulzar's research has focused on Artificial Intelligence, Deep Learning, Database Systems, Query Processing, Healthcare, and Agriculture, resulting in over 76 publications in respected journals, conferences, and book chapters. Prior to his current role, Dr. Gulzar served as Assistant Professor at King Faisal University from February 2019 to February 2024, and held various teaching and research positions at the International Islamic University Malaysia. He has led seven Annual Track projects under the Deanship of Scientific Research at King Faisal University and contributed to projects funded by the Ministry of Higher Education in Malaysia and the Ministry of Education in Saudi Arabia. Dr. Gulzar's academic achievements include multiple awards, such as the ‘Research Excellence Award’ for 2023-24 and 2022 from the College of Business, King Faisal University, and the ‘Best PhD Student’ Award from the Faculty of ICT at IIUM in 2018. He actively contributes to scholarly journals as an editor and has organizing special issues. Dr. Gulzar also holds leadership roles, including heading the SSRP Committee and serving on several committees, highlighting his commitment to academic excellence and institutional development.
Dac-Nhuong Le received an MSc and PhD in computer science from Vietnam National University in 2009 and 2015, respectively. Presently, he is Associate Professor, Dean of Faculty of Information Technology, Haiphong University, Vietnam. He has been involved with academics including teaching and research since 2005. He has over 130+ papers published in SCI(E), Scopus international conferences, journals, and online book chapter contributions. He is researching the field of evolutionary computation, specializes in intelligence computing, evolutionary multi-objective optimization, network communication and security, cloud computing, IoT, VR/AR. Recently, he has been on the technique program committee, the technique reviews, the track chair for international conferences under Springer-ASIC/LNAI/CISC Series. He has also served in the editorial board of international journals and authored and edited over 30 computer science books by Springer, Wiley, CRC Press, IET, Bentham, De Guyter Publishing.
Zusammenfassung
The book investigates the correlation between computational optimization methods, data science, machine learning, and mathematical analysis. This book provides profound insights into the mathematical analysis of machine learning models. In this book, case studies are presented in a variety of disciplines, such as healthcare , finance , and e-commerce. The latter illustrates the practical implementations of optimisation in the selection of features, hyperparameters, and models. Practical observations regarding the evaluation and enhancement of machine learning models in real-world scenarios, including agriculture, e-commerce, healthcare, and financial portfolio management, are included in this publication. This publication is intended for researchers, engineers, mathematicians, and computer scientists. The goal is to improve the utilisation of computational optimisation techniques in real-time scenarios by integrating theoretical concepts with practical applications.
