Chuan Shi & Philip S. Yu 
Heterogeneous Information Network Analysis and Applications [PDF ebook] 

Soporte


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. 


€139.09
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Tabla de materias

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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Idioma Inglés ● Formato PDF ● Páginas 227 ● ISBN 9783319562124 ● Tamaño de archivo 6.9 MB ● Editorial Springer International Publishing ● Ciudad Cham ● País CH ● Publicado 2017 ● Descargable 24 meses ● Divisa EUR ● ID 5075294 ● Protección de copia DRM social

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