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Guide to Big Data Applications

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This handbook brings together a variety of approaches to the uses of big data in multiple fields, primarily science, medicine, and... Weiterlesen
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Beschreibung

This handbook brings together a variety of approaches to the uses of big data in multiple fields, primarily science, medicine, and business. This single resource features contributions from researchers around the world from a variety of fields, where they share their findings and experience. This book is intended to help spur further innovation in big data. The research is presented in a way that allows readers, regardless of their field of study, to learn from how applications have proven successful and how similar applications could be used in their own field. Contributions stem from researchers in fields such as physics,   biology, energy, healthcare, and   business. The contributors also discuss important topics such as fraud detection, privacy implications, legal perspectives, and ethical handling of big data.



S. Srinivasan, Ph.D. is a Professor and Chairman of Division of International Business & Technology Studies with A.R. Sanchez School of Business at Texas A & M International University. After completing his PhD at the University of Pittsburgh, he worked at Carlow College (Pittsburgh, PA); University of Akron (Akron, OH); and Austin Peay State University (Clarksville, TN) before settling at the University of Louisville (Louisville, KY) where he spent 23 years. He started the Information Security program there, which became one of the National Centers of Academic Excellence. He moved to Texas A&M International University (Laredo, TX) as Chairman in 2010. He is now at Texas Southern University (Houston, TX) as the Associate Dean for Academic Affairs and Research, as well as a distinguished professor in the Jesse H. Jones School of Business. His two books on cloud computing, Security, Trust and Regulatory Aspects of Cloud Computing in Business Environments (IGI Global) and Cloud Computing Basics (Springer), were published in 2014. His research interests are in the area of information security. He has published several papers both in mathematics and computer science, and has offered seminars at several conferences. He spent his sabbatical years at Siemens (Munich, Germany) (1994); UPS Air Group (Louisville, KY) (2000-2001); and GE Appliance Park (Louisville, KY) (2007-2008). In addition, he has done consulting work for IBM, the US Army, and several other smaller companies over the years. 

Autorentext

Dr. S. Srinivasan is the Associate Dean for Academic Affairs and Research as well as the Distinguished Professor of Information Systems at the Jesse H. Jones (JHJ) School of Business at Texas Southern University (TSU) in Houston, Texas, USA. He is the Director of Graduate Programs at the JHJ School of Business. Prior to coming to TSU, he was Chairman of the Division of International Business and Technology Studies at Texas A & M International University in Laredo. He spent 23 years at the University of Louisville (UofL) in Kentucky where he started the Information Security Program as a collaborative effort of multiple colleges. He was Director of the InfoSec program until 2010 when he left for Texas. The program was designated a National Center of Academic Excellence in Information Assurance Education by the US National Security Agency and the Department of Homeland Security. He successfully wrote several grant proposals in support of the InfoSec Program. His two books on Cloud Computing are Security, Trust, and Regulatory Aspects of Cloud Computing in Business Environments and Cloud Computing Basics. His area of research is Information Security. He is the Editor-in-Chief for the Southwestern Business Administration Journal. He has taught Management of Information Systems and Computer Science courses. He spent his sabbatical leaves from UofL at Siemens in their R & D facility in Munich, Germany; UPS Air Group in Louisville, KY; and GE Appliance Park in Louisville, KY. Besides these industry experiences, he has done consulting work for US Army, IBM and a major hospital company in Louisville, KY. He is currently a Cybersecurity Task Force member of the Greater Houston Partnership.



Inhalt
Introduction.- Big Data Analytics.- Big Data and Social Media.- Use of Cloud Computing for Big Data in Business.- Economic Data Analysis Related to Developing Countries.- High Performance Computing and Big Data.- Big Data Applications in Physics.- Big Data Applications in Chemistry.- Big Data Applications in Mathematics.- Big Data Applications in Biology.- Big Data Applications in Engineering.- Big Data Applications in Meteorology.- Big Data Applications in Environmental Science.- Big Data Applications in Energy.- Security Applications for Big Data.- Big Data Applications in Network Traffic Analysis.- Big Data Applications in Supply Chain Logistics.- Big Data Applications in Healthcare.- Big Data Applications in Cancer Research.- Impact of Big Data in Marketing.- Use of Big Data in Banking.- Using Big Data for Fraud Detection in Accounting.- Using Big Data for Supply Chain Management.- Privacy Implications of Big Data.- Legal Perspectives of Big Data.- Ethical Handling of Big Data in Practical Uses.- Conclusion.

Produktinformationen

Titel: Guide to Big Data Applications
Editor:
EAN: 9783319538174
ISBN: 978-3-319-53817-4
Digitaler Kopierschutz: Wasserzeichen
Format: E-Book (pdf)
Herausgeber: Springer
Genre: Technik
Anzahl Seiten: 565
Veröffentlichung: 25.05.2017
Jahr: 2017
Untertitel: Englisch
Dateigrösse: 12.2 MB

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