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.
"Sinopsis" puede pertenecer a otra edición de este libro.
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.
"Sobre este título" puede pertenecer a otra edición de este libro.
Librería: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Alemania
Taschenbuch. Condición: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -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. 300 pp. Englisch. Nº de ref. del artículo: 9783032256379
Cantidad disponible: 2 disponibles
Librería: preigu, Osnabrück, Alemania
Taschenbuch. Condición: Neu. Recent Advances on Soft Computing and Data Mining | Proceedings of the Seventh International Conference on Soft Computing and Data Mining (SCDM 2026), August 4-5, 2026 | Rozaida Ghazali (u. a.) | Taschenbuch | xvi | Englisch | 2026 | Springer | EAN 9783032256379 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu. Nº de ref. del artículo: 135911076
Cantidad disponible: 5 disponibles
Librería: AHA-BUCH GmbH, Einbeck, Alemania
Taschenbuch. Condición: Neu. Druck auf Anfrage Neuware - Printed after ordering - 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. Nº de ref. del artículo: 9783032256379
Cantidad disponible: 2 disponibles