Big Data Management
Editat de Fausto Pedro García Márquez, Benjamin Leven Limba Engleză Hardback – 25 noi 2016
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Specificații
ISBN-13: 9783319454979
ISBN-10: 3319454978
Pagini: 282
Ilustrații: XVI, 267 p. 107 illus., 38 illus. in color.
Dimensiuni: 155 x 235 x 20 mm
Greutate: 0.68 kg
Ediția:1st ed. 2017
Editura: Springer International Publishing
Colecția Springer
Locul publicării:Cham, Switzerland
ISBN-10: 3319454978
Pagini: 282
Ilustrații: XVI, 267 p. 107 illus., 38 illus. in color.
Dimensiuni: 155 x 235 x 20 mm
Greutate: 0.68 kg
Ediția:1st ed. 2017
Editura: Springer International Publishing
Colecția Springer
Locul publicării:Cham, Switzerland
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Cuprins
Introduction.- The Big Data Business Opportunity.- The Business Transformation by Big Data.- Data Integration and Management Science.- Novel Approaches for Big Data Analytics.- Case Studies: Engineering; Financial; Economic; Business; Project Management.- Signal Processing.
Recenzii
“This book is definitely timely with its ambitious goals to fulfill a big gap in the literature. … this book provides a valuable collection of perspectives that demonstrate the complexity and diversity of big data, and open avenues for future research. … This book will be particularly welcome by researchers who are interested in an interdisciplinary approach to big data and have a basic understanding of computer science.” (Mingming Cheng, Information Technology & Tourism, Vol. 17, 2017)
Notă biografică
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 internationalpapers and 10 books. 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.
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.
Textul de pe ultima copertă
This book focuses on the analytic principles of business practice and big data. Specifically, it provides an interface between the main disciplines of engineering/technology and the organizational and administrative aspects of management, serving as a complement to books in other disciplines such as economics, finance, marketing and risk analysis. The contributors present their areas of expertise, together with essential case studies that illustrate the successful application of engineering management theories in real-life examples.
Caracteristici
Provides an interdisciplinary approach to big data, merging the perspectives of contributors from various fields of research Aimed at engineers, economists, and researchers who employ engineering management in the course of their work Offers insightful real-life case studies to illustrate the applications of big data in management Includes supplementary material: sn.pub/extras