"This book provides the information on the machine learning techniques that can be in business problems in efficient way. It encourages the data Scientists to take a proactive attitude toward applying machine learning techniques in business. It increases evolutionary computation awareness in...

"This book explores problems related to the five "Vs" of big data, technological issues, as well as big data analytics applications. It also covers how data must be extracted, grouped, organized, aggregated and correlated with methods and techniques such as data integration (ETL), data...

"This book examines topics of interest and continuing importance for information technology management in a variety of settings. It also explores how information systems and intelligent knowledge processing are playing an increased role in business, science and technology"--

"This book focuses on application of nature-inspired algorithms for handling issues and challenges posed by big data in diverse environments. It highlights the usability and performance measures of these techniques in dealing with data related problems of emerging areas. It also explore the role...

"This book explores the concepts of big data, IoT and Smart Cities along with the recent research development. It also includes various real time and offline applications and case studies in the field of engineering, computer science, IoT, Smart Cities with modern tools and technologies used"--

The technologies in data mining have been applied to bioinformatics research in the past few years with success, but more research in this field is necessary. While tremendous progress has been made over the years, many of the fundamental challenges in bioinformatics are still open. Data mining...

Section 1. Introduction -- 1. Computational intelligence applications in business : a cross-section of the field / Kevin E. Voges, Nigel K. Ll. Pope -- 2. Making decisions with data : using computational intelligence within a business environment / Kevin Swingler, David Cairns -- 3....

This book provides a comprehensive analysis on current issues and trends in retrieval expansion. Containing research from leading international experts, this book presents future challenges and opportunities in the field valuable to academicians, researchers, and practitioners.

Real life problems are known to be messy, dynamic and multi-objective, and involve high levels of uncertainty and constraints. Because traditional problem-solving methods are no longer capable of handling this level of complexity, heuristic search methods have attracted increasing attention in...

This book presents an overview of the state of the art approaches in this new and multidisciplinary field of data mining. The primary objective of this book is to explore the myriad issues regarding data mining, specifically focusing on those areas that explore new methodologies or examine case...