Smart Data

This book presents cutting-edge techniques in smart data computing, focusing on decision-making and prediction services, as well as recent research trends.

This book delves into the innovative techniques of smart data computing, aiming to enhance intelligent decision-making and prediction services across various domains such as business, science, and engineering. It provides a comprehensive look at the latest research trends connected to smart data computing and applications. Key areas of focus include emerging computing theories, as well as advanced data mining and machine learning methodologies.

Smart Data also highlights contributions from leading experts in the field, covering a range of contemporary topics such as the intersection of smart data and cloud computing, the role of artificial intelligence in networking, and the advancements in deep learning specific to smart data. The book emphasizes the significance of big data capture and representation, alongside the application of AI in big data contexts.

In addition to its theoretical insights, the book addresses practical concerns, including data security and privacy, particularly in relation to AI techniques. By combining computing methods with domain knowledge, Smart Data provides a broad coverage of topics in data science and machine learning, making it a valuable resource for professionals and researchers alike.