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Since he began posting in 2003, Dempsey has used his blog to explore nearly every important facet of library technology, from the emergence of Web 2.0 as a concept to open source ILS tools and the push to web-scale library management systems.
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.
This paper is intended to provide interested librarians with a basic knowledge of research networks (as opposed to library networks), focusing specifically on the manner in which they can be used by the international library community to support library functions and improve access to bibliographic information, as well as the technical and policy issues involved in research network use. (Research networks are defined as networks developed within the academic community to provide the infrastructure for a variety of networking tasks, while library networks are designed specifically to support the nuts and bolts operations of libraries.) While major projects involving library/research network c...
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