| 书目名称 | Data Science, Learning by Latent Structures, and Knowledge Discovery | | 编辑 | Berthold Lausen,Sabine Krolak-Schwerdt,Matthias Bö | | 视频video | | | 概述 | Covers theory, methods and applications of data analysis.Inspires for further research in the fields of Data Analysis, Learning by Latent Structures and Knowledge Discovery.Combines the intensive work | | 丛书名称 | Studies in Classification, Data Analysis, and Knowledge Organization | | 图书封面 |  | | 描述 | .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.. | | 出版日期 | Conference proceedings 2015 | | 关键词 | Classification; Data Analysis; Data Science; Data Stream; Knowledge Organization; Latent Structures | | 版次 | 1 | | doi | https://doi.org/10.1007/978-3-662-44983-7 | | isbn_softcover | 978-3-662-44982-0 | | isbn_ebook | 978-3-662-44983-7Series ISSN 1431-8814 Series E-ISSN 2198-3321 | | issn_series | 1431-8814 | | copyright | Springer-Verlag Berlin Heidelberg 2015 |
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发表于 2025-3-21 17:48:32
