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Heterogeneous information network analysis and applications

Record Type:	Language materials, printed : Monograph/item
Title/Author:	Heterogeneous information network analysis and applications/ by Chuan Shi, Philip S. Yu.
Author:	Shi, Chuan.
other author:	Yu, Philip S.
Published:	Cham :Springer International Publishing : : 2017.,
Description:	ix, 227 p. :ill., digital ; : 24 cm.;
Contained By:	Springer eBooks
Subject:	Data mining. -
Online resource:	http://dx.doi.org/10.1007/978-3-319-56212-4
ISBN:	9783319562124$q(electronic bk.)

Heterogeneous information network analysis and applications
Shi, Chuan.

Heterogeneous information network analysis and applications[electronic resource] /by Chuan Shi, Philip S. Yu. - Cham :Springer International Publishing :2017. - ix, 227 p. :ill., digital ;24 cm. - Data analytics,2520-1859. - Data analytics..

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.

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.

ISBN: 9783319562124$q(electronic bk.)

Standard No.: 10.1007/978-3-319-56212-4doiSubjects--Topical Terms:

528622
Data mining.

LC Class. No.: QA76.9.D343

Dewey Class. No.: 006.312

Heterogeneous information network analysis and applications
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505 0 $a 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.
520 $a 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.
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