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    Data Science, Learning by Latent Structures, and Knowledge Discovery

Data Science, Learning by Latent Structures, and Knowledge Discovery

Berthold Lausen
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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.
      Format: CONTRIBUTORS: Berthold Lausen EAN: 9783662449820 COUNTRY: Germany PAGES: WEIGHT: 8716 g HEIGHT: 235 cm
      PUBLISHED BY: Springer-Verlag Berlin and Heidelberg GmbH & Co. KG DATE PUBLISHED: 2015-05-18 CITY: GENRE: BUSINESS & ECONOMICS / Marketing / General, COMPUTERS / Data Science / Data Analytics, MATHEMATICS / Probability & Statistics / General, PSYCHOLOGY / Assessment, Testing & Measurement, SCIENCE / Life Sciences / General WIDTH: 155 cm SPINE:

      Book Themes:

      Psychological testing and measurement, Management decision making, Sales and marketing, Operational research, Probability and statistics, Data mining, Expert systems / knowledge-based systems

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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.
      Format: CONTRIBUTORS: Berthold Lausen EAN: 9783662449820 COUNTRY: Germany PAGES: WEIGHT: 8716 g HEIGHT: 235 cm
      PUBLISHED BY: Springer-Verlag Berlin and Heidelberg GmbH & Co. KG DATE PUBLISHED: 2015-05-18 CITY: GENRE: BUSINESS & ECONOMICS / Marketing / General, COMPUTERS / Data Science / Data Analytics, MATHEMATICS / Probability & Statistics / General, PSYCHOLOGY / Assessment, Testing & Measurement, SCIENCE / Life Sciences / General WIDTH: 155 cm SPINE:

      Book Themes:

      Psychological testing and measurement, Management decision making, Sales and marketing, Operational research, Probability and statistics, Data mining, Expert systems / knowledge-based systems

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      Be the first to write a review
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