| Data Science, Learning by Latent Structures, and Knowledge Discovery 2015 Edition Contributor(s): Lausen, Berthold (Editor), Krolak-Schwerdt, Sabine (Editor), Böhmer, Matthias (Editor) |
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ISBN: 366244982X ISBN-13: 9783662449820 Publisher: Springer OUR PRICE: $161.49 Product Type: Paperback - Other Formats Published: May 2015 |
| Additional Information |
| BISAC Categories: - Mathematics | Probability & Statistics - General - Business & Economics | Marketing - General - Psychology | Assessment, Testing & Measurement |
| Dewey: 006.312 |
| Series: Studies in Classification, Data Analysis, and Knowledge Orga |
| Physical Information: 1.18" H x 6.14" W x 9.21" (1.78 lbs) 560 pages |
| Descriptions, Reviews, Etc. |
| Publisher Description: 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. |