Data Analysis and Related Applications : Models, Methods and Techniques

This book is a collective work by several leading scientists, analysts, engineers, mathematicians and statisticians, who have been working at the forefront of data analysis and related applications, arising from data science, operations research, engineering, machine learning or statistics.

Data Analysis and Related Applications 5 represents a cross-section of current concerns and research interests in the above scientific areas. The collected material has been divided into appropriate sections to provide the reader with both theoretical and applied information on data analysis methods, models and techniques, along with appropriate applications.

Yiannis Dimotikalis works in the Department of Management Science and Technology at the Hellenic Mediterranean University, Greece. His research areas include teaching operations research (analytics), focusing on simulation and optimization.

Christos H. Skiadas is the Founder and Director of the Data Analysis and Forecasting Laboratory in the Technical University of Crete, Greece. He is also the former Vice-Rector of the Technical University of Crete and Chairman of the Department of Production Engineering and Management.