Granular Computing Based Machine Learning: A Big Data Processing Approach (Studies in Big Data, 35)
by Han Liu, Mihaela Cocea
A technical volume on granular computing methods applied to machine learning for big data processing and analysis.
About This Book
This book examines the integration of granular computing with machine learning to address challenges in processing large-scale data.
It presents methods that combine data abstraction and learning algorithms for improved efficiency and scalability.
The work is part of the Studies in Big Data series and targets researchers and practitioners in data science.
Reviews
No reviews yet. Be the first to review this book!