Web Data Mining: Exploring Hyperlinks, Contents, and Usage Data (Data-Centric Systems and Applications)
by 冰 刘
This book explores web data mining by examining hyperlinks, contents, and usage data in data-centric systems. Authored by Bing Liu, it provides essential techniques for analyzing web information, uncovering patterns, and applying insights to information retrieval and beyond. Ideal for those interested in computer science and data applications.
About This Book
Web Data Mining: Exploring Hyperlinks, Contents, and Usage Data introduces key methods for extracting valuable insights from the web. Authored by Bing Liu, this book focuses on the analysis of hyperlinks, textual contents, and user behavior data within data-centric systems.
The text delves into practical approaches for mining web structures and semantics, providing a solid foundation for applications in information retrieval and recommendation systems. It emphasizes the integration of various data sources to uncover patterns and trends.
As part of the Data-Centric Systems and Applications series, the book addresses the challenges and opportunities in handling large-scale web data, making it a valuable resource for students and professionals in the field.
Readers will gain an understanding of how to leverage web mining techniques to enhance decision-making and system performance in diverse technological contexts.
Reviews
No reviews yet. Be the first to review this book!