Analysis of Large and Complex Data

Wilhelm, Adalbert F. X. (Editor)/ Kestler, Hans (Editor)

ISBN 10: 3319252240 / ISBN 13: 9783319252247

Published by Springer-Verlag New York Inc, 2016

About this Item

684 pages. 9.00x6.00x1.50 inches. In Stock.

Seller Inventory # x-3319252240

Bibliographic Details

• Title: Analysis of Large and Complex Data
• Publisher: Springer-Verlag New York Inc
• Publication Date: 2016
• Language: English
• ISBN 10: 3319252240
• ISBN 13: 9783319252247
• Binding: Paperback
• Condition: Brand New
• Weight: 0.94 kilograms

About this title

Synopsis

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.

From the Back Cover

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.p>