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Heterogeneous Information Network Analysis and Applications

  • Book
  • © 2017

Overview

  • 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

Part of the book series: Data Analytics (DAANA)

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About this book

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. 








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Keywords

Table of contents (9 chapters)

Authors and Affiliations

  • Beijing University of Posts and Telecommunications, Beijing, China

    Chuan Shi

  • University of Illinois at Chicago, Chicago, USA

    Philip S. Yu

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