Descripción
This collection showcases innovative research and theoretical advancements in the field of data analytics. Contributions from leading scholars illuminate various aspects of data analysis and its implications for learning processes. Readers will find a rich exploration of contemporary methodologies, frameworks, and applications that redefine how data can be harnessed to enhance decision-making and foster intelligent systems.
As the complexity of data continues to grow, the book addresses the challenges and opportunities that data-centric approaches present. Each contribution serves as a stepping stone for further inquiry, providing insights that are essential for researchers, practitioners, and anyone interested in the dynamic landscape of data analytics and its impact on learning.
As the complexity of data continues to grow, the book addresses the challenges and opportunities that data-centric approaches present. Each contribution serves as a stepping stone for further inquiry, providing insights that are essential for researchers, practitioners, and anyone interested in the dynamic landscape of data analytics and its impact on learning.
Detalles del libro
Formato
Tapa blanda
Páginas
265 páginas
Idioma
Inglés
Publicado
Feb 20, 2024
Editorial
Springer
Ediciones
2 editions
ISBN-10
9819963451
ISBN-13
9789819963454