Frontiers in Data Science

Matthias Dehmer, Frank Emmert-Streib

October 9, 2017 by CRC Press
Reference - 383 Pages - 24 B/W Illustrations
ISBN 9781498799324 - CAT# K30579
Series: Chapman & Hall/CRC Big Data Series


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    • Intended for an interdisciplinary readership working in Computer Science, Business, Finance, Information Science and related disciplines.
    • Each chapter of the book, although specialized, will include discussion of the place of the special topic in the whole work. In addition, background information for non-specialists will be included to ensure accessibility to a broad scientific readership.
    • Examples that illustrate the concepts and methods developed will also be included in each chapter.


    Frontiers in Data Science deals with philosophical and practical results in Data Science. A broad definition of Data Science describes the process of analyzing data to transform data into insights. This also involves asking philosophical, legal and social questions in the context of data generation and analysis. In fact, Big Data also belongs to this universe as it comprises data gathering, data fusion and analysis when it comes to manage big data sets. A major goal of this book is to understand data science as a new scientific discipline rather than the practical aspects of data analysis alone.


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