Data Science, Learning by Latent Structures, and Knowledge Discovery
Häftad, Engelska, 2015
2 109 kr
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Fri frakt för medlemmar vid köp för minst 249 kr.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.
Produktinformation
- Utgivningsdatum2015-05-18
- Mått155 x 235 x 32 mm
- Vikt873 g
- FormatHäftad
- SpråkEngelska
- SerieStudies in Classification, Data Analysis, and Knowledge Organization
- Antal sidor560
- Upplaga2015
- FörlagSpringer-Verlag Berlin and Heidelberg GmbH & Co. KG
- ISBN9783662449820