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Springer Decision Mathematics, Statistical Learning & Data Mining - ICMSCT2023

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Description

This comprehensive collection brings together selected research papers from the International Conference on Mathematics, Statistics and Computing Technology (ICMSCT2023), held at UST Angelicum College in Manila, Philippines on 20-21 September 2023. The conference, a biennial collaboration among university partners across Malaysia, Thailand, Indonesia and the Philippines, addresses critical challenges in digital technology adoption and Industry 4.0 transformation across nations of varying development levels. The papers explore decision mathematics, statistical learning methodologies and data mining techniques essential for navigating post-pandemic technological advancement. Spanning volume 461 of Springer Proceedings in Mathematics and Statistics, this book presents peer-reviewed contributions that bridge academic research and practical applications in computing technology, offering valuable insights for researchers, practitioners and students engaged in mathematical sciences and computational disciplines.

Key Features

Collects peer-reviewed papers from ICMSCT2023 conference held in Manila, Philippines, addressing contemporary challenges in mathematics and statistics.

Part of Springer Proceedings in Mathematics and Statistics volume 461, ensuring academic rigor and credibility from a leading international publisher.

Features contributions from university collaborators across Malaysia, Thailand, Indonesia and the Philippines, reflecting diverse regional perspectives.

Covers decision mathematics, statistical learning and data mining applications relevant to Industry 4.0 and digital transformation strategies.

Explores post-COVID technological challenges and solutions for organisations across different development levels worldwide.

Presents research on computing technology innovations essential for understanding modern statistical and mathematical applications.

Product Specifications

Format
hardcover
Domain
Amazon UK
Release Date
27 October 2024
Listed Since
19 April 2024

Barcode

No barcode data available

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