This edited volume is devotedto Big Data Analysis from a Machine Learning standpoint as presented by some ofthe most eminent researchers in this area. It demonstrates that Big Data Analysis opens up new researchproblems which were either never considered before, or were only consideredwithin a limited range. In addition to providing methodological discussions onthe principles of mining Big Data and the difference between traditionalstatistical data analysis and newer computing frameworks, this book presentsrecently developed algorithms affecting such areas as business, financialforecasting, human mobility, the Internet of Things, information networks,bioinformatics, medical systems and life science. It explores, through a numberof specific examples, how the study of Big Data Analysis has evolved and how ithas started and will most likely continue to affect society. While the benefitsbrought upon by Big Data Analysis are underlined, the book also discusses someof the warnings that have been issued concerning the potential dangers of BigData Analysis along with its pitfalls and challenges.