Relational Data Clustering: Models, Algorithms, and Applications (Chapman & Hall/CRC Data Mining and Knowledge Discovery)
by Philip S. Yu, Bo Long, Zhongfei Zhang
This book delves into relational data clustering, presenting key models, algorithms, and applications within the data mining and knowledge discovery domain. Authored by experts Philip S. Yu, Bo Long, and Zhongfei Zhang, it equips readers with tools to analyze interconnected data effectively. Part of the Chapman & Hall/CRC series, it bridges theory and practice for advanced data handling.
About This Book
Relational Data Clustering: Models, Algorithms, and Applications offers a comprehensive examination of clustering techniques for relational data.
Authored by Philip S. Yu, Bo Long, and Zhongfei Zhang, the book is part of the Chapman & Hall/CRC Data Mining and Knowledge Discovery series.
It covers foundational models and practical algorithms designed to handle complex relational structures in data analysis.
Applications discussed highlight the utility of these methods in real-world knowledge discovery scenarios.
This resource serves as a valuable reference for researchers and practitioners in the field.
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