Applied Modeling Techniques and Data Analysis 1

Data analysis has expanded rapidly over the past few decades, driven by growth in the technology sector, the broad reach of computational methods, and newer analytical tools. Modeling sits at the heart of this work, helping analysts detect links between variables, make predictions, and present findings in forms that are easier to understand and interpret.

This volume belongs to the Big Data, Artificial Intelligence and Data Analysis series, coordinated by Jacques Janssen. It gathers recent developments in the field for a scientific readership with growing interest in the subject. The contents are a collective effort by a group of prominent researchers, practitioners, engineers, mathematicians and statisticians working at the forefront of data analysis and modeling.

The chapters address a range of current problems and research interests across these areas. The material is organized into sections that pair theory with practice, covering analytical methods, models and techniques alongside examples of how they are applied.