Preface
Thanks to significant work by the authors and contributors, we have developed these two volumes on new and classical approaches to Data Analysis and Applications.
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 analytical tools. Therefore, the need for publications is evident. New publications 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.
These two volumes thus present collected material in over 30 chapters, divided into seven parts, in a form that will provide the reader with theoretical and applied information on data analysis methods, models and techniques along with appropriate applications.
In addition to the chapters, we include in both volumes an excellent introductory and review paper entitled “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 his speech given at the celebration of his 70th birthday at the ASMDA2017 International Conference in London (held in De Morgan House of the London Mathematical Society).
Volume 1 contains the following three parts:
Part 1, Clustering and Regression, includes four chapters: “Cluster Validation by Measurement of Clustering Characteristics Relevant ...