Link Mining: Models, Algorithms, and Applications
by Jiawei Han, Philip S. Yu, Christos Faloutsos
This book presents models, algorithms, and applications central to link mining, a vital area in data analysis. It explores how interconnected data can be mined for insights, offering foundational knowledge for computational and network studies. Ideal for those interested in advanced data processing techniques.
About This Book
Link Mining: Models, Algorithms, and Applications delves into the essential frameworks for analyzing interconnected data structures. It covers theoretical models that underpin link-based mining processes, providing a solid foundation for understanding complex networks.
The book examines a range of algorithms designed to extract meaningful patterns from linked information. These methods are crucial for handling large-scale data in various computational environments.
Applications of link mining are highlighted, demonstrating real-world uses in fields like social networks and web analysis. The text emphasizes practical implementations that leverage these techniques effectively.
Written by Jiawei Han, Philip S. Yu, and Christos Faloutsos, this work serves as a key resource for researchers and practitioners in data science.
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