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 Grundlagen der Datenanalyse mit R by
Cover of the book Transactions on Computational Collective Intelligence XXII by
Cover of the book Periodic Review Inventory Systems by
Cover of the book Cell Kinetics of the Inflammatory Reaction by
Cover of the book Self-Organization in Psychotherapy by
Cover of the book Verification and Validation in Systems Engineering by
Cover of the book Spatial Contact Problems in Geotechnics by
Cover of the book Basic Principles of Concrete Structures by
Cover of the book The Noble Gases as Geochemical Tracers by
Cover of the book Grundlagen des Bürgerlichen Rechts by
Cover of the book Nanotechnology Characterization Tools for Biosensing and Medical Diagnosis by
Cover of the book Applied Panel Data Analysis for Economic and Social Surveys by
Cover of the book Coarse-Grained Modelling of DNA and DNA Self-Assembly by
Cover of the book Psychoanalysis and the Concept of a Rule by
Cover of the book Pancreatic Cancer 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