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. The book presents
selected papers from the Second European Conference on Data Analysis held at Jacobs University
Bremen in July 2014. This conference unites diverse researchers in the pursuit of a common
topic creating truly unique synergies in the process.
