This book gives a presentation of Evolutionary Algorithms, with a straightforward, bottom-up approach that provides the reader with a firm grasp of the basic principles of EAs. Covering the theory, history, mathematics, and applications of evolutionary optimization algorithms, t…
This business analytics (BA) text discusses the models based on fact-based data to measure past business performance to guide an organization in visualizing and predicting future business performance and outcomes. It provides a comprehensive overview of analytics in general with…
This compilation presents the research themes, methods, and findings, making it a significant reference for design researchers and design practitioners interested in furthering a understanding of design activity in 'real world' settings.
This book gives an introduction to statistical concepts and ideas. It makes few assumptions about the reader's statistical knowledge, carefully explaining each step of the analysis and the logic behind it. This book provides a clear explanation of statistical analysis and the ke…
Analysis of distributional data
This comprehensive edited 2-volume handbook provides a unique platform for researchers, engineers, developers, educators and advanced students in the field of Big Data analytics. The first volume presents methodologies that support Big Data analytics, while the second volume off…
This comprehensive edited 2-volume handbook provides a unique platform for researchers, engineers, developers, educators and advanced students in the field of Big Data analytics. The first volume presents methodologies that support Big Data analytics, while the second volume off…
In this book, John W. Creswell explores the philosophical underpinnings, history, and key elements of each of five qualitative inquiry traditions: narrative research, phenomenology, grounded theory, ethnography, and case study. In his signature accessible writing style, the auth…
This thorough book collects methods and strategies to analyze proteomics data. It is intended to describe how data obtained by gel-based or gel-free proteomics approaches can be inspected, organized, and interpreted to extrapolate biological information. Organized into four sect…
Agile is a set of values, principles, techniques, and frameworks for the adaptable, incremental, and efficient delivery of work. Big Data is a rapidly growing field that encompasses crucial aspects of data such as its volume, velocity, variety, and veracity. This book outlines a…