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Decision Mathematics, Statistical Learning and Data Mining
Yap Bee Wah (Hrsg.), Obaid Ullah Mehmood (Hrsg.), Wan Fairos Wan Yaacob (Hrsg.)
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Naturwissenschaften, Medizin, Informatik, Technik / Sonstiges
Beschreibung
This book is a collection of selected research papers presented at the Mathematics, Statistics and Computing Technology (ICMSCT2023), held at the UST Angelicum College, Philippines, from 20th to 21st September 2023. This biennial event is a result from collaborations of university partners in Malaysia, Thailand, Indonesia and Philippines.
Increasing investment in digital technologies is a challenge faced by most countries after the crisis caused by COVID-19 and the demand of technological revolution 4.0. Indirectly, regardless of their level of development, they take into account the importance of redesigning strategies for resilient and sustainable regional economic development, increasing regional resilience and minimizing recovery costs as a basis for development. In such situation, this book gather discussion, viewpoints and findings on the recent works of mathematical and computing technology applications in order to propose solutions to overcome adversity of digital resilience.
This book covers a wide range of topics on applied mathematics, which includes decision mathematics and also applied statistics covering statistical learning with applications. In addition, the book also highlight the latest application of statistical mining and data visualization, particularly on data mining, machine learning and data visualization. Editors believe this book will interest and influence researchers on the recent techniques, methodologies and applications to ensure digital resilience and support future research.
Kundenbewertungen
Computing Technology, Big Data Analytics, Statistical Mining, Decision Mathematics, Information Technology, Data Visualization, Statistical Learning, Applied Mathematics, Computer Science, Digital Resilience, Data Mining