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.
