Big Data Applications and Use Cases
Springer International Publishing (Verlag)
978-3-319-30144-0 (ISBN)
Patrick C. K. Hung is an Associate Professor at the Faculty of Business and Information Technology in University of Ontario Institute of Technology, Canada and an Honorary International Chair Professor at the Department of Electronic Engineering in National Taipei University of Technology, Taiwan. Patrick has worked with Boeing Research and Technology on aviation services-related research with two patents on mobile network dynamic workflow system. He is also a Visiting Professor at University of Sao Paulo, Brazil. In addition, he was an Adjunct Professor at Wuhan University, a Visiting Professor at the Shizuoka University and University of Aizu in Japan, a Guest Professor in University of Innsbruck in Austria, University of Trento and University of Milan in Italy. Before that, he was a Research Scientist with Commonwealth Scientific and Industrial Research Organization in Australia as well as he worked as a software engineer in industry in North America. He is a founding committee member of the IEEE International Conference of Web Services (ICWS), IEEE International Conference on Services Computing (SCC), and IEEE BigData Congress (BigData Congress). He is also an Associate Editor of the IEEE Transactions on Services Computing, and a Coordinating Editor of the Information Systems Frontiers.
Introduction to Big Data.- A Bloom Filter-based Approach for Supporting the Representation and Membership Query of Multidimensional Dataset.- Automatic Speech and Singing Discrimination for Audio Data Indexing.- Exploring the Feature Selection-based Data Analytics Solutions for Text Mining Online Communities by Investigating the Influential Factors - A Case Study of Programming CQA in Stack Overflow.- Temporal Event Tracing on Big Healthcare Data Analytics.- Unstructured Data, NoSQL, and Terms Analytics.- VLAB-C: Collaborative Virtual Laboratory in Cloud Computing and its Applications.- A Crowdsourcing Social Network Service for Social Enterprise Innovation.- Self-adaptive Parameters Optimization for Incremental Classification in Big Data Using Neural Network.- VLAB-C: Collaborative Virtual Laboratory in Cloud Computing and its Applications.- Case Studies of Government Use of Big Data in Latin America: Brazil and Mexico.
"This book would be of interest to researchers and practitioners in the data analytics field. It examines the characteristics of big data; the uses of big data, including government, marketing, insurance, the Internet of Things, and healthcare; and different analytic approaches. The book is reasonably well organized and provides examples of the application of data analysis to various public and private sector organizations. Sufficient references are provided." (Computing Reviews, August, 2017)
| Erscheinungsdatum | 08.10.2016 |
|---|---|
| Reihe/Serie | International Series on Computer, Entertainment and Media Technology |
| Zusatzinfo | VI, 214 p. 70 illus., 62 illus. in color. |
| Verlagsort | Cham |
| Sprache | englisch |
| Maße | 155 x 235 mm |
| Themenwelt | Mathematik / Informatik ► Informatik ► Datenbanken |
| Mathematik / Informatik ► Mathematik ► Finanz- / Wirtschaftsmathematik | |
| Schlagworte | Big data architecture • Big data for business model innovations and analyt • Big data for business model innovations and analytics • Big data for enterprise transformation • Big data for vertical industries • Big data in business performance management • Big data in smart planet solutions • Big data modeling • Big data open platforms • Big data toolkits • Computer Science • Database Management • Economic Analysis • Enterprise management models and practices • Government management models and practices • IT in business |
| ISBN-10 | 3-319-30144-6 / 3319301446 |
| ISBN-13 | 978-3-319-30144-0 / 9783319301440 |
| Zustand | Neuware |
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