Recent Advances on Soft Computing and Data Mining (Paperback)
Language: English
Published by Springer Nature Switzerland AG, Cham, 2026
- Softcover
- New
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Paperback. 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 advances strategic research in data-driven systems by presenting integrative frameworks that transform complex data into rigorous and impactful scientific insights. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability.…
Seller Inventory # 9783032256379
- Title
- Recent Advances on Soft Computing and Data Mining (Paperback)
- Author
- Rozaida Ghazali
- Publisher
- Springer Nature Switzerland AG, Cham
- Publication year
- 2026
- Condition
- new
- Binding
- Paperback
- Language
- English
- ISBN 10
- 3032256372
- ISBN 13
- 9783032256379
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.
"Synopsis" may belong to another edition of this title.
From the Back Cover
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.
"About the title" may belong to another edition of this title.
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