Introduction to Data Science
by Jeffrey Stanton
Number of pages: 196
This book provides non-technical readers with a gentle introduction to essential concepts and activities of data science. For more technical readers, the book provides explanations and code for a range of interesting applications using the open source R language for statistical computing and graphics.
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by Michael J. Kurtz, Johan Bollen - arXiv
Scholarly usage data provides unique opportunities to address the known shortcomings of citation analysis. This article provides a review of the state-of-the-art in usage-based informetric, i.e. the use of usage data to study the scholarly process.
by Michael R. Berthold (ed.) - Springer
The focus of this book, and the BISON project from which the contributions are originating, is a network based integration of various types of data repositories and the development of new ways to explore the resulting gigantic information networks.
by W. Glänzel
Bibliometrics has become a standard tool of science policy and research management in the last decades. All significant compilations of science indicators heavily rely on publication and citation statistics and other bibliometric techniques.
by Gang Wu - InTech
Web 3.0 will be built on semantic Web technologies, which will allow data to be shared and reused. This book explains examines how this powerful new technology can unify and fully leverage the ever-growing data, information, and Internet services.