Analysis of Large and Complex Data

Beschreibung

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>
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.
Offers a snapshot of the state-of-the-art in classification at the interface between statistics, computer science and application fields With contributions from a variety of interdisciplinary fields Showcases the strong role of computational techniques in data analysis and classification

Autor*in

Adalbert F.X. Wilhelm

Themen in »Analysis of Large and Complex Data«

Big Data Classification Cluster Analysis Complex Data Computational Statistics Data Analysis Musicology

Stimmen zu »Analysis of Large and Complex Data«

“Analysis of Large and Complex Data is a useful book for those who are very well read in sophisticated data analysis across variety of disciplines and are looking for a book that captures state-of-the-art scientific papers across a wide cross-section.” (Jonathan P. Wanderer, Anesthesia & Analgesia, Vol. 125 (1), July, 2017)

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