This book offers a snapshot of the state-of-the-art in classification at the interface between statistics, computer science and application fields. The contributions span a broad spectrum, from theoretical developments to practical applications; they all share a strong computational component. The topics addressed are from the following fields: Statistics and Data Analysis; Machine Learning and Knowledge Discovery; Data Analysis in Marketing; Data Analysis in Finance and Economics; Data Analysis in Medicine and the Life Sciences; Data Analysis in the Social, Behavioural, and Health Care Sciences; Data Analysis in Interdisciplinary Domains; Classification and Subject Indexing in Library and Information Science.

Inhalt
Part I Invited Papers.- Part II Big Data.- Part III Clustering.- Part IV Classification.- Part V Regression and other Statistical Techniques.- Part VI Applications.- Part VII Data Analysis in Marketing.- Part VIII Data Analysis in Finance.- Part IX Data Analysis in Medicine and Life Sciences.- Part X Data Analysis in Musicology.- Part XI Data Analysis in Interdisciplinary Domains.- Part XII Data Analysis in Social, Behavioural and Health Care Sciences.- Part XIII Data Analysis in Library Science.-