Nazri Mohd Nawi – författare

This book provides an introduction to data science and offers a practical overview of the concepts and techniques that readers need to get the most out of their large-scale data mining projects and research studies.

This book unfolds ways to transform data into innovative solutions perceived as new remarkable and meaningful value. It strides them through the data-analytical thinking, circumvents the difficulty in deciphering complex data systems and obtaining commercialization value from the data.

This book unfolds ways to transform data into innovative solutions perceived as new remarkable and meaningful value. It strides them through the data-analytical thinking, circumvents the difficulty in deciphering complex data systems and obtaining commercialization value from the data.

This book explores methods for leveraging data to create innovative solutions that offer significant and meaningful value. Readers are guided through analytical thinking processes, addressing challenges in deciphering complex data systems and deriving commercial value from the data.

This book advances strategic research in data-driven systems by presenting integrative frameworks that transform complex data into rigorous and impactful scientific insights. It strengthens methodological design, analytical modeling, and system-level thinking for large-scale computational challenges.Organized into two complementary tracks, Soft Computing & Data Mining and AI & Data Science, this book highlights innovative approaches that connect theoretical foundations with advanced optimization, intelligent modelling, and analytical techniques. Its distinct contribution lies in emphasizing interdisciplinary integration, research depth, and methodological robustness.Featuring carefully curated scholarly works, this book addresses data complexity, adaptive algorithms, and intelligent architectures across diverse domains. It serves as a strategic reference for researchers, doctoral scholars, and advanced practitioners seeking to advance the frontiers of computational and data-driven research.

This book provides a comprehensive introduction and practical look at the concepts and techniques readers need to get the most out of their data in real-world, large-scale data mining projects. It also guides readers through the data-analytic thinking necessary for extracting useful knowledge and business value from the data.The book is based on the Soft Computing and Data Mining (SCDM-16) conference, which was held in Bandung, Indonesia on August 18th–20th 2016 to discuss the state of the art in soft computing techniques, and offer participants sufficient knowledge to tackle a wide range of complex systems. The scope of the conference is reflected in the book, which presents a balance of soft computing techniques and data mining approaches. The two constituents are introduced to the reader systematically and brought together using different combinations of applications and practices. It offers engineers, data analysts, practitioners, scientists and managers the insights into the concepts, tools and techniques employed, and as such enables them to better understand the design choice and options of soft computing techniques and data mining approaches that are necessary to thrive in this data-driven ecosystem.