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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Human Computer Interaction is an interdisciplinary field, theories and models are adapted from many other disciplines. Through the course, we will learn, critique, apply, and expand theories and models to make them relevant to the state of the field.
by Dennis Hart, Shirley Gregor - ANU Press
The focus of the volume is on the foundations of Information Systems as an academic discipline. The chapters in the book provide a critical examination of current design science ideas, with the role of human creativity given special mention.
by Dhana Nandini - Bookboon
This book is intended for engineering students who are interested in exploring the technology of Semantic web. The book simplifies the tough concepts associated with Semantic web and can be considered as the base of the knowledge about Web 3.0.
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.