eBook, PDF

Data Science and Digital Business (eBook, PDF)

Beschreibung

Helps readers understand the premises of digital science

Covers interdisciplinary aspects of data science

Presents case studies with real-world examples from the digital business

Technische Details

• Geräte: PC
• ohne Kopierschutz
• Größe: 11.48MB

Barrierefreiheit

• Text-to-Speech

Autor

Dr. Fausto Pedro García Márquez completed his European Doctorate in Engineering at the University of Castilla-La Mancha (UCLM) in 2004. He received his Engineering degree from the University of Murcia, Spain in 1998, and his Technical Engineering degree at UCLM in 1995 and degree in Business Administration and Management at UCLM in 2006. He has also served as Technician in Labor Risk Prevention by UCLM (2000) and Transport Specialist at the Polytechnic University of Madrid, Spain (2001). He was a Senior Manager at Accenture in 2013/2014, and is currently a Senior Lecturer (Full Professor accredited) at UCLM, an Honorary Senior Research Fellow at the University of Birmingham, UK, a Lecturer at the Instituto Europeo de Postgrado and Director of the Ingenium Research Group. He has been the principal investigator in 3 European Projects and 60 national and corporate research projects. He holds international and national patents, and has authored more than 110 international papers and 10books. His work has been recognized with 3 International Awards in Engineering Management and Management Science.  Dr. Benjamin Lev is a Professor and Head of Decision Sciences at LeBow College of Business. He holds a PhD in Operations Research from Case Western Reserve University. Prior to joining Drexel University, Dr. Lev held academic and administrative positions at Temple University, the University of Michigan-Dearborn and Worcester Polytechnic Institute. He is the Editor-in-Chief of OMEGA - The International journal of Management Science, the Co-Editor-in-Chief of the International Journal of Management Science and Engineering Management, and serves on several other journal editorial boards. He has published over ten books and numerous articles, and has organized many national and international conferences. 

Produktdetails

• Verlag: Springer International Publishing
• Seitenzahl: 316
• Erscheinungstermin: 4. Januar 2019
• Englisch
• ISBN-13: 9783319956510
• Artikelnr.: 54880286

Rezensionen

"If you have an interest in analytics and visualization, and would like to review several applications of classification models, you may find it an interesting read." (Robert M. Lynch, Computing Reviews, September 09, 2019)