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With a keen focus on the symbiotic relationship between AI, data analytics, and marketing research, this book bridges... Read More >>
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This four-volume set constitutes the post-conference proceedings of the 7th EAI International Conference on Advanced... Read More >>
With the growing advances in technology and transformation to digital services, the world is becoming more connected... Read More >>
The coverage spans key concepts adopted from statistics and machine learning, useful techniques for graph analysis... Read More >>
"This book provides a comprehensive presentation of a recently introduced framework, named ""probabilistic indexing""... Read More >>
If you need to persuade or inform people, and you've got data, you need to master the techniques of visual analytics... Read More >>
In uralten Spielen wie Schach oder Go können sich die brillantesten Spieler verbessern, indem sie die von einer... Read More >>
The current data engineering demands more than theoretical understanding; it necessitates a practical, nuanced approach.... Read More >>
In the world of data management, one of the most formidable challenges faced by academic scholars is the effective... Read More >>
Reinforcement learning (RL) is concerned with learning to take actions to maximize rewards, by trial and error,... Read More >>
This book facilitates both the theoretical background and applications of fuzzy, intuitionistic fuzzy and rough,... Read More >>
Open Electronic Data Capture Tools for Medical and Biomedical Research and Medical Allied Professionals explains... Read More >>
This book starts from the classic recommendation algorithms, introduces readers to the basic principles and main... Read More >>
The need for tailored data for machine learning models is often unsatisfied, as it is considered too much of a risk... Read More >>
Through advanced analytics, machine learning, and artificial intelligence, Data-Driven Insights for Healthcare and... Read More >>