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03181nam a22005535i 4500 |
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978-3-319-56212-4 |
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DE-He213 |
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20170525065916.0 |
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170525s2017 gw | s |||| 0|eng d |
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|a 9783319562124
|9 978-3-319-56212-4
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|a 10.1007/978-3-319-56212-4
|2 doi
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|d GrThAP
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|a QA76.9.D343
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|a UNF
|2 bicssc
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|a UYQE
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|a COM021030
|2 bisacsh
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|a 006.312
|2 23
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|a Shi, Chuan.
|e author.
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|a Heterogeneous Information Network Analysis and Applications
|h [electronic resource] /
|c by Chuan Shi, Philip S. Yu.
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|a Cham :
|b Springer International Publishing :
|b Imprint: Springer,
|c 2017.
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300 |
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|a IX, 227 p. 62 illus., 53 illus. in color.
|b online resource.
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|a text
|b txt
|2 rdacontent
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|a computer
|b c
|2 rdamedia
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|a online resource
|b cr
|2 rdacarrier
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|a text file
|b PDF
|2 rda
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|a Data Analytics,
|x 2520-1859
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|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.
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|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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|a Computer science.
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|a Computer communication systems.
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|a Data mining.
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|a Artificial intelligence.
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|a Pattern recognition.
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|a Electrical engineering.
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|a Computer Science.
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|a Data Mining and Knowledge Discovery.
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650 |
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|a Artificial Intelligence (incl. Robotics).
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650 |
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|a Pattern Recognition.
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650 |
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|a Communications Engineering, Networks.
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650 |
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|a Computer Communication Networks.
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|a Yu, Philip S.
|e author.
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|a SpringerLink (Online service)
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|t Springer eBooks
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776 |
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|i Printed edition:
|z 9783319562117
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830 |
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|a Data Analytics,
|x 2520-1859
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856 |
4 |
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|u http://dx.doi.org/10.1007/978-3-319-56212-4
|z Full Text via HEAL-Link
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912 |
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|a ZDB-2-SCS
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950 |
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|a Computer Science (Springer-11645)
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