Ebook: Swarm intelligence methods for statistical regression

Introduction -- Stochastic optimization theory -- Evolutionary computation and swarm -- Particle swarm optimization -- PSO applications.;"A core task in Big Data analytics is the fitting of flexible, high-dimensional, models to noisy data in order to capture meaningful patterns. This can often result in challenging non-linear and non-convex global optimization problems. The large data volume that must be handled in Big Data applications further increases the difficulty of this problem. This book will describe methods from the field of computational swarm intelligence (SI) and how they can be used to solve optimization problems encountered in Big Data analytics. It will consider some generic data analysis problems, and how they may be addressed using SI methods"--