Data Science, Learning by Latent Structures, and Knowledge Discovery

Nonfiction, Science & Nature, Mathematics, Statistics, Business & Finance, Marketing & Sales
Cover of the book Data Science, Learning by Latent Structures, and Knowledge Discovery by , Springer Berlin Heidelberg
View on Amazon View on AbeBooks View on Kobo View on B.Depository View on eBay View on Walmart
Author: ISBN: 9783662449837
Publisher: Springer Berlin Heidelberg Publication: May 6, 2015
Imprint: Springer Language: English
Author:
ISBN: 9783662449837
Publisher: Springer Berlin Heidelberg
Publication: May 6, 2015
Imprint: Springer
Language: English

This volume comprises papers dedicated to data science and the extraction of knowledge from many types of data: structural, quantitative, or statistical approaches for the analysis of data; advances in classification, clustering and pattern recognition methods; strategies for modeling complex data and mining large data sets; applications of advanced methods in specific domains of practice. The contributions offer interesting applications to various disciplines such as psychology, biology, medical and health sciences; economics, marketing, banking and finance; engineering; geography and geology; archeology, sociology, educational sciences, linguistics and musicology; library science. The book contains the selected and peer-reviewed papers presented during the European Conference on Data Analysis (ECDA 2013) which was jointly held by the German Classification Society (GfKl) and the French-speaking Classification Society (SFC) in July 2013 at the University of Luxembourg.

View on Amazon View on AbeBooks View on Kobo View on B.Depository View on eBay View on Walmart

This volume comprises papers dedicated to data science and the extraction of knowledge from many types of data: structural, quantitative, or statistical approaches for the analysis of data; advances in classification, clustering and pattern recognition methods; strategies for modeling complex data and mining large data sets; applications of advanced methods in specific domains of practice. The contributions offer interesting applications to various disciplines such as psychology, biology, medical and health sciences; economics, marketing, banking and finance; engineering; geography and geology; archeology, sociology, educational sciences, linguistics and musicology; library science. The book contains the selected and peer-reviewed papers presented during the European Conference on Data Analysis (ECDA 2013) which was jointly held by the German Classification Society (GfKl) and the French-speaking Classification Society (SFC) in July 2013 at the University of Luxembourg.

More books from Springer Berlin Heidelberg

Cover of the book GPU Solutions to Multi-scale Problems in Science and Engineering by
Cover of the book Georges Lemaître: Life, Science and Legacy by
Cover of the book Sicherheit von Leichtwasserreaktoren by
Cover of the book Muscle Pain: Understanding the Mechanisms by
Cover of the book Orthopedics in Disasters by
Cover of the book Mikronährstoffe als Motor der Evolution by
Cover of the book Model Driven Engineering and Ontology Development by
Cover of the book MRI in Epilepsy by
Cover of the book Lithosphere Dynamics and Sedimentary Basins: The Arabian Plate and Analogues by
Cover of the book Key Topics in Surgical Research and Methodology by
Cover of the book Radiation Physics for Nuclear Medicine by
Cover of the book Regular Functions of a Quaternionic Variable by
Cover of the book Polarization Bremsstrahlung by
Cover of the book Laryngotracheal Reconstruction by
Cover of the book Data you need to know about China by
We use our own "cookies" and third party cookies to improve services and to see statistical information. By using this website, you agree to our Privacy Policy