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Bing Liu

    Lifelong Machine Learning, Second Edition
    Web data mining
    • 2018

      This edition delves into the evolving field of lifelong machine learning, emphasizing its significance in developing systems that learn continuously from data over time. It covers foundational concepts, advanced techniques, and real-world applications, making it suitable for both researchers and practitioners. The book highlights the challenges of maintaining and improving learning systems in dynamic environments and discusses strategies for effective knowledge transfer and adaptation. Enhanced with updated examples and case studies, it serves as a comprehensive resource for understanding lifelong learning in AI.

      Lifelong Machine Learning, Second Edition
    • 2007

      Web data mining

      • 532 pages
      • 19 hours of reading
      3.9(40)Add rating

      This book provides a comprehensive text on Web data mining. Key topics of structure mining, content mining, and usage mining are covered. The book brings together all the essential concepts and algorithms from related areas such as data mining, machine learning, and text processing to form an authoritative and coherent text. The book offers a rich blend of theory and practice. It is suitable for students, researchers and practitioners interested in Web mining. Lecturers can readily use it for classes on data mining, Web mining, and Web search. Internet support with lecture slides and project problems is available online.

      Web data mining