Big Data Analysis: New Algorithms for a New Society

“This book can be used as a reference book on big data analysis with a tilt toward machine learning techniques. Individual chapters could be useful to interested parties in the respective areas of research. Big data analytics is a relatively new problem in the domain of civilian activities, although it has a longer history in military applications. This edited volume certainly fills a niche in this growing and broad research area.” (M. M. Tanik, Computing Reviews, computingreviews.com, June, 2016)

• A Machine Learning Perspective on Big Data Analysis.- An Insight on Big Data Analytics.- Toward Problem Solving Support based on Big Data and Domain Knowledge: Interactive Granular Computing and Adaptive Judgment.- An overview of Conceptdrift Applications.- Analysis of Text-Enriched Heterogeneous Information Networks.- Implementing Big Data Analytics Projects in Business.- Data mining in Business: Current Advances and Future Challenges.- Industrial-Scale Ad Hoc Risk Analytics Using MapReduce.- Big Data and the Internet of Things.- Social Network Analysis in Streaming Call Graphs.- Scalable Cloud-Based Data Analysis Software Systems for Big Data From Next Generation Sequencing.- Discovering Networks of Interdependent Features in High-Dimensional Problems.- Final Remarks on Big Data Analysis and its Impact on Society and Science.