Analysis of Large and Complex Data

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.

Table of Contents

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