Big Data Technologies and Applications

Part I. Big Data Technologies

1. Introduction to Big Data
Borko Furht, Flavio Villanustre

2. Big Data Analytics
Chun-Wei Tsai, Chin-Feng Lai, Han-Chieh Chao, Athanasios V. Vasilakos

3. Transfer Learning Techniques
Karl Weiss, Taghi M. Khoshgoftaar, DingDing Wang

4. Visualizing Big Data
Ekaterina Olshannikova, Aleksandr Ometov, Yevgeni Koucheryavy, Thomas Olsson

5. Deep Learning Techniques in Big Data Analytics
Maryam M. Najafabadi, Flavio Villanustre, Taghi M. Khoshgoftaar, Naeem Seliya, Randall Wald, Edin Muharemagc

Part II. LexisNexis Risk Solution to Big Data

6. The HPCC/ECL Platform for Big Data
Anthony M. Middleton, David Alan Bayliss, Gavin Halliday, Arjuna Chala, Borko Furht

7. Scalable Automated Linking Technology for Big Data Computing
Anthony M. Middleton, David Bayliss, Bob Foreman

8. Aggregated Data Analysis in HPCC Systems
David Bayliss

9. Models for Big Data
David Bayliss

10. Data Intensive Supercomputing Solutions
Anthony M. Middleton

11. Graph Processing with Massive Datasets: A Kel Primer
David Bayliss, Flavio Villanustre

Part III. Big Data Applications

12. HPCC Systems for Cyber Security Analytics
Flavio Villanustre, Mauricio Renzi

13. Social Network Analytics: Hidden and Complex Fraud Schemes
Flavio Villanustre, Borko Furht

14. Modeling Ebola Spread and Using HPCC/KEL System
Jesse Shaw, Flavio Villanustre, Borko Furht, Ankur Agarwal, Abhishek Jain

15. Unsupervised Learning and Image Classification in High Performance Computing Cluster
I. Itauma, M. S. Aslan, X. W. Chen, Flavio Villanustre

Keywords: Computer Science, Information Systems and Communication Service, Software Engineering, Mathematical Applications in Computer Science