Advances in Machine Learning for Big Data Analysis

This  book focuses on research aspects of ensemble approaches of machine  learning techniques that can be applied to address the big data  problems.

In this book, various advancements of machine learning  algorithms to extract data-driven decisions from big data in diverse  domains such as the banking sector, healthcare, social media, and video  surveillance are presented in several chapters. Each of them has  separate functionalities, which can be leveraged to solve a specific set  of big data applications. This book is a potential resource for various  advances in the field of machine learning and data science to solve big  data problems with many objectives. It has been observed from the  literature that several works have been focused on the advancement of  machine learning in various fields like biomedical, stock prediction,  sentiment analysis, etc. However, limited discussions have been carried  out on application of advanced machine learning techniques in solving  big data problems.