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Frontiers in Data Science
ISBN/GTIN

Frontiers in Data Science

E-BookPDFDRM AdobeE-Book
CHF78.70

Beschreibung

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.
Weitere Beschreibungen

Details

Weitere ISBN/GTIN9781498799331
ProduktartE-Book
EinbandE-Book
FormatPDF
Format HinweisDRM Adobe
Erscheinungsdatum16.10.2017
Seiten393 Seiten
SpracheEnglisch
Dateigrösse9692 Kbytes
Illustrationen24 schwarz-weiße Abbildungen, 20 schwarz-weiße Fotos, 4 schwarz-weiße Zeichnungen, 12 schwarz-weiße Tabellen
Artikel-Nr.6588315
KatalogVC
Datenquelle-Nr.1481608
Weitere Details

Autor

Matthias Dehmer studied mathematics at the University of Siegen (Germany) and received his Ph.D. in computer science from the Technical University of Darmstadt (Germany). Afterwards, he was a research fellow at Vienna Bio Center (Austria), Vienna University of Technology, and University of Coimbra (Portugal). He obtained his habilitation in applied discrete mathematics from the Vienna University of Technology. Currently, he is Professor at UMIT - The Health and Life Sciences University (Austria) and also has a post at Bundeswehr Universit¿at M¿unchen (Germany). His research interests are in Data Science, Big Data, Complex Networks, Machine Learning and Information Theory. In particular, he is also working on machine learning-based methods to design new data analysis methods for solving problems in computational biology. He has more than 205 publications in applied mathematics, computer science and related disciplines.

Frank Emmert-Streib studied physics at the University of Siegen, Germany, gaining his PhD in theoretical physics from the University of Bremen. He was a postdoctoral fellow in the USA before becoming a Faculty member at the Center for Cancer Research at the Queen's University Belfast (UK). Currently, he is a Professor at Tampere University Technology, Finland, in the Department of Signal Processing. His research interests are in the field of computational biology, data science and analytics in the development and application of methods from statistics and machine learning for the analysis of big data from genomics, finance and business.