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.
Autorentext
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
Inhalt
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.