Big Data Analysis: New Algorithms for a New Society

This edited volume is devoted to Big Data Analysis from a Machine Learning standpoint as presented by some of the most eminent researchers in this area.

It demonstrates that Big Data Analysis opens up new research problems which were either never considered before, or were only considered within a limited range. In addition to providing methodological discussions on the principles of mining Big Data and the difference between traditional statistical data analysis and newer computing frameworks, this book presents recently developed algorithms affecting such areas as business, financial forecasting, human mobility, the Internet of Things, information networks, bioinformatics, medical systems and life science. It explores, through a number of specific examples, how the study of Big Data Analysis has evolved and how it has started and will most likely continue to affect society. While the benefits brought upon by Big Data Analysis are underlined, the book also discusses some of the warnings that have been issued concerning the potential dangers of Big Data Analysis along with its pitfalls and challenges.

Table of Contents

Chapter 1 A Machine Learning Perspective on Big Data Analysis
Chapter 2 An Insight on Big Data Analytics
Chapter 3 Toward Problem Solving Support Based on Big Data and Domain Knowledge: Interactive Granular Computing and Adaptive Judgement
Chapter 4 An Overview of Concept Drift Applications
Chapter 5 Analysis of Text-Enriched Heterogeneous Information Networks
Chapter 6 Implementing Big Data Analytics Projects in Business
Chapter 7 Data Mining in Finance: Current Advances and Future Challenges
Chapter 8 Industrial-Scale Ad Hoc Risk Analytics Using MapReduce
Chapter 9 Big Data and the Internet of Things
Chapter 10 Social Network Analysis in Streaming Call Graphs
Chapter 11 Scalable Cloud-Based Data Analysis Software Systems for Big Data from Next Generation Sequencing
Chapter 12 Discovering Networks of Interdependent Features in High-Dimensional Problems
Chapter 13 Final Remarks on Big Data Analysis and Its Impact on Society and Science