Decision Mathematics, Statistical Learning and Data Mining (eBook)

Selected Contributions from ICMSCT2023, Manila, Philippines, September 20-21
Artikelnummer: 978-981-9734-50-4
Einband: PDF
Verfügbarkeit: Download, sofort verfügbar (Link per E-Mail)
CHF 260.00
decrease increase

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.


accessibilitysupport@springernature.com

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.


accessibilitysupport@springernature.com
Schreiben Sie Ihre eigene Bewertung
  • Nur registrierte Benutzer können Produkte bewerten
*
*
Schlecht
Sehr gut
*
*
*
*
VerlagSpringer Nature Singapore
EinbandPDF
Erscheinungsjahr2024
Seitenangabe381 S.
AusgabekennzeichenEnglisch
AbbildungenXXII, 381 p. 126 illus., 107 illus. in color.
Masse20'983 KB
PlattformPDF
ReiheSpringer Proceedings in Mathematics & Statistics; Mathematics and Statistics; Mathematics and Statistics ; Springer Nature Proceedings excluding Computer Science
AutorWan Yaacob, Wan Fairos (Hrsg.) / Wah, Yap Bee (Hrsg.) / Mehmood, Obaid Ullah (Hrsg.)

Alle Bände der Reihe "Springer Proceedings in Mathematics & Statistics; Mathematics and Statistics; Mathematics and Statistics (R0); Springer Nature Proceedings excluding Computer Science"

Über den Autor Wan Fairos (Hrsg.) Wan Yaacob

228523801

Weitere Titel von Wan Fairos (Hrsg.) Wan Yaacob

Produktbewertungen
Nur registrierte Benutzer können Produkte bewerten