Big Data Applications and Use Cases

1. Front Matter

   Pages i-vi

   PDF

2. Introduction to Big Data

   • William Rafferty, Laura Rafferty, Patrick C. K. Hung

   Pages 1-15

3. A Bloom Filter-Based Approach for Supporting the Representation and Membership Query of Multidimensional Dataset

   • Zhu Wang, Tiejian Luo

   Pages 17-31

4. Automatic Speech and Singing Discrimination for Audio Data Indexing

   • Wei-Ho Tsai, Cin-Hao Ma

   Pages 33-47

5. 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

   • Shu Zhou, Simon Fong

   Pages 49-93

6. Temporal Event Tracing on Big Healthcare Data Analytics

   • Chin-Ho Lin, Liang-Cheng Huang, Seng-Cho T. Chou, Chih-Ho Liu, Han-Fang Cheng, I-Jen Chiang

   Pages 95-108

7. Unstructured Data, NoSQL, and Terms Analytics

   • Richard K. Lomotey, Ralph Deters

   Pages 109-143

8. VLAB-C: Collaborative Virtual Laboratory in Cloud Computing and Its Applications

   • Jianjun Yu, Kejun Dong, Yihua Zheng

   Pages 145-174

9. Self-Adaptive Parameters Optimization for Incremental Classification in Big Data Using Neural Network

   • Simon Fong, Charlie Fang, Neal Tian, Raymond Wong, Bee Wah Yap

   Pages 175-196

10. Case Studies of Government Use of Big Data in Latin America: Brazil and Mexico

    • Roberto da Mota Ueti, Daniela Fernandez Espinosa, Laura Rafferty, Patrick C. K. Hung

    Pages 197-214

This book presents different use cases in big data applications and related practical experiences. Many businesses today are increasingly interested in utilizing big data technologies for supporting their business intelligence so that it is becoming more and more important to understand the various practical issues from different practical use cases. This book provides clear proof that big data technologies are playing an ever increasing important and critical role in a new cross-discipline research between computer science and business. 

• Big data architecture
• Big data modeling
• Big data for vertical industries
• Big data toolkits
• Big data open platforms
• Economic analysis
• Big data for enterprise transformation
• Big data in business performance management
• Big data for business model innovations and analytics
• Enterprise management models and practices
• Government management models and practices
• Big data in smart planet solutions

“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) 

• Faculty of Business & IT, Univ of Ontario Inst of Tech, Oshawa, Canada

  Patrick C. K. Hung

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.

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