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OverviewThis 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. Full Product DetailsAuthor: Chuan Shi , Philip S. YuPublisher: Springer International Publishing AG Imprint: Springer International Publishing AG Edition: Softcover reprint of the original 1st ed. 2017 Weight: 0.454kg ISBN: 9783319858555ISBN 10: 3319858556 Pages: 227 Publication Date: 02 August 2018 Audience: Professional and scholarly , Professional & Vocational Format: Paperback Publisher's Status: Active Availability: Manufactured on demand ![]() We will order this item for you from a manufactured on demand supplier. Table of Contents1. 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.ReviewsAuthor InformationTab Content 6Author Website:Countries AvailableAll regions |