BIG DATA, ARTIFICIAL INTELLIGENCE AND DATA ANALYSIS SET
Coordinated by Jacques Janssen
Data analysis is a scientific field that continues to grow enormously, most
notably over the last few decades, following rapid growth within the tech
industry, as well as the wide applicability of computational techniques
alongside new advances in analytic tools. Modeling enables data analysts
to identify relationships, make predictions, and to understand, interpret
and visualize the extracted information more strategically. This book
includes the most recent advances on this topic, meeting increasing
demand from wide circles of the scientific community.
Applied Modeling Techniques and Data Analysis 1 is a collective work by
a number of leading scientists, analysts, engineers, mathematicians and
statisticians, working on the front end of data analysis and modeling
applications. The chapters cover a cross section of current concerns and
research interests in the above scientific areas. The collected material is
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.