Data Science, Learning by Latent Structures, and Knowledge Discovery eBook

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About this eTextbook

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.

Data Science, Learning by Latent Structures, and Knowledge Discovery and published by Springer.

Publication details

eText ISBN: 9783662449837, 3662449838
Print ISBN: 9783662449820, 366244982X

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About this eTextbook

Data Science, Learning by Latent Structures, and Knowledge Discovery and published by Springer.

Publication details

eText ISBN: 9783662449837, 3662449838
Print ISBN: 9783662449820, 366244982X

What you receive

A licensed digital edition of this title, supplied as PDF or EPUB. The format is set by the publisher, so email us the ISBN before ordering and we will confirm which one it is.
Delivered to the email address on your order as a secure download link, usually within minutes and always within 24 hours of payment.
Download links do not expire and there is no cap on re-downloads. Readable on any computer, tablet or phone, online or offline.
This is a digital edition. Nothing is printed, packed or posted, and there is no delivery charge.