[HOT SHARE] Data Science, Learning by Latent Structures, and Knowledge Discovery Books
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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.
Additional Information:
| Title | : Data Science, Learning by Latent Structures, and Knowledge Discovery |
| Author | : Berthold Lausen,Sabine Krolak-Schwerdt,Matthias Böhmer |
| Item ID | : 1bslCQAAQBAJ |
| Publisher | : Springer |
| Type | : BOOK |
| Format File | : PDF & EPUB |
| Android/iOS | : Install “Google Play Books” |
| Page Count | : 560 |
| Category | : Mathematics |
| Published Date | : 2015-05-06 |
| Language | : en |
| Isbn 10 | : 3662449838 |
| Isbn 13 | : 9783662449837 |
| Sale Info | : FOR_SALE |
| Price | : 155.99 EUR |
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