Machine Learning: Concepts, Methodologies, Tools and Applications (3 Volumes)

This three-volume set reprints 120 papers previously published by Information Science Reference in Handbook of research on machine learning applications and trends, Dynamic and advanced data mining for progressing technological development, Computational modeling and simulation of intellect and other titles. The papers are arranged according to machine learning theories, design methodologies, software tools, applications, organizational and social implications, and managerial impact.

As a comprehensive collection of research on the latest findings related to using technology to providing various services, Machine Learning: Concepts, Methodologies, Tools and Applications, provides researchers, administrators and all audiences with a complete understanding of the development of applications and concepts in machine learning. Given the vast number of issues concerning usage, failure, success, policies, strategies, and applications of machine learning in organizations, Machine Learning: Concepts, Methodologies, Tools and Applications addresses the demand for a resource that encompasses the most pertinent research in machine learning development, deployment, and impact.