Springer Decision Mathematics and Statistical Learning Book

Explore the latest advancements in computational science with Decision Mathematics, Statistical Learning and Data Mining. This volume contains selected research papers from the International Conference on Mathematics, Statistics and Computing Technology (ICMSCT2023), which took place in Manila, Philippines. As nations navigate the challenges of digital technology investment following the COVID-19 crisis and the rise of technological revolution 4.0, this collection provides essential academic insights. The research presented is a product of international collaboration between university partners in Malaysia, Thailand, Indonesia, and the Philippines. This book serves as a valuable resource for researchers and students interested in the intersection of mathematics and computing. It addresses the growing importance of data-driven decision-making in a rapidly changing technological landscape. Part of the Springer Proceedings in Mathematics and Statistics series, this work captures the academic dialogue from a significant biennial event held at UST Angelicum College.