Heterogeneous Information Network Analysis and Applications
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Beschreibung
This book offers researchers an understanding of the fundamental issues and a good starting point to work on this rapidly expanding field. It provides a comprehensive survey of current developments of heterogeneous information network. It also presents the newest research in applications of heterogeneous information networks to similarity search, ranking, clustering, recommendation.
This information will help researchers to understand how to analyze networked data with heterogeneous information networks. Common data mining tasks are explored, including similarity search, ranking, and recommendation. The book illustrates some prototypes which analyze networked data.
Professionals and academics working in data analytics, networks, machine learning, and data mining will find this content valuable. It is also suitable for advanced-level students in computer science who are interested in networking orpattern recognition.
Explains the benefits of heterogeneous information networks for readers Offers readers an understanding of developing trends in social network analysis Provides a comprehensive survey of current developments of heterogeneous information networks Includes supplementary material: sn.pub/extras
Autor*in
Chuan Shi
Themen in »Heterogeneous Information Network Analysis and Applications«
Heterogeneous information network Social networks Social network analysis Networked data Homogeneous information network Machine learning Similarity search Ranking Clustering Recommendation Meta path Network schema