284 Pages 2 Color & 58 B/W Illustrations
    by CRC Press

    Data mining has witnessed substantial advances in recent decades. New research questions and practical challenges have arisen from emerging areas and applications within the various fields closely related to human daily life, e.g. social media and social networking. This book aims to bridge the gap between traditional data mining and the latest advances in newly emerging information services. It explores the extension of well-studied algorithms and approaches into these new research arenas.

    FUNDAMENTALS
    Introduction
    Mathematical Foundations
    Data Preparation
    Cluster Analysis
    Classification
    Frequent Pattern Mining

    ADVANCED DATA MINING
    Advanced Clustering Analysis
    Privacy Preserving in Data Mining
    Data Stream

    EMERGING APPLICATIONS
    Web Clustering and Web Community
    Recommender Systems
    Data Mining in Social Tagging Systems
    Social Network Mining

    Biography

    Dr. Guandong Xu , Centre for Applied Informatics, School of Engineering and Science, Victoria University, Australia

    Prof. Yu Zong, Department of Information and Engineering, West Anhui University, China

    Dr. Zhenglu Yang, Institute of Industrial Science, Tokyo, Japan