Data-Driven Mining, Learning and Analytics for Secured Smart Cities: Trends and Advances

The book delves into the innovative fusion of data-driven methodologies with the evolving requirements of smart city infrastructure. It explores how advanced analytics and machine learning can enhance urban environments, making them more secure and efficient. Through various contributions from experts, it presents a comprehensive overview of the latest trends and technologies transforming urban landscapes.

By focusing on mining, learning, and analytics, the work emphasizes the importance of a data-centric approach in addressing the challenges of modern cities. Readers will find insights into practical applications and strategic frameworks that can lead to the development of safer, more responsive urban areas, enriched by intelligent data systems.