Data Analysis and Applications 2

Preface

Thanks to the significant work by the authors and contributors, we have developed this book, the second of two volumes. The data analysis field has been continuously growing over recent decades following the wide applications of computing and data collection along with new developments in analytic tools. Hence, the need for publications is evident. New works appear as printed or e-books covering the need for information from all fields of science and engineering thanks to the wide applicability of data analysis and statistics packages.

In this volume, we present the collected material in four parts, including 14 chapters, in a form that will provide the reader with theoretical and applied information on data analysis methods, models and techniques along with appropriate applications. The results of the work in these chapters are used for further study throughout Europe, including the Nordic countries, the V4 states, southern Europe, Germany and the United Kingdom. Other topics include computing, entropy, innovation and quality assurance.

Before the chapters, we include an excellent introductory and review paper titled “50 Years of Data Analysis: From Exploratory Data Analysis to Predictive Modeling and Machine Learning” by Gilbert Saporta, a leading expert in the field. The paper was based on the speech given for the celebration of his 70th birthday at the ASMDA2017 International Conference in London (held in De Morgan House of the London Mathematical Society).

The ...