Actions for Heterogeneous Information Network Analysis and Applications [electronic resource]

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Heterogeneous Information Network Analysis and Applications [electronic resource] / by Chuan Shi, Philip S. Yu.

Author
Shi, Chuan
Published
Cham : Springer International Publishing : Imprint: Springer, 2017.
Physical Description
IX, 227 pages 62 illustrations, 53 illustrations in color : online resource
Additional Creators
Yu, Philip S. and SpringerLink (Online service)
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Series
Contents
1. Introduction -- 2. Summarization of the developments -- 3.Uniform relevance measure of heterogeneous objects -- 4. Path based Ranking -- 5. Ranking based Clustering -- 6. Recommendation with heterogeneous information -- 7. Information fusion with heterogeneous network -- 8. Prototype system -- 9. Future research directions -- 10. Conclusion.
Summary
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 or pattern recognition. .
Subject(s)
ISBN
9783319562124
Digital File Characteristics
text file PDF
Part Of
Springer eBooks
View MARC record | catkey: 20502615