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          <dc:title>Bridging Information Visualization with Machine Learning (Dagstuhl Seminar 15101)</dc:title>
          <dc:creator>Keim, Daniel A.</dc:creator>
          <dc:creator>Munzner, Tamara</dc:creator>
          <dc:creator>Rossi, Fabrice</dc:creator>
          <dc:creator>Verleysen, Michael</dc:creator>
          <dc:subject>Information visualization</dc:subject>
          <dc:subject>Machine learning</dc:subject>
          <dc:subject>Visual data mining</dc:subject>
          <dc:subject>Exploratory data analysis</dc:subject>
          <dc:description>This report documents the program and the outcomes of Dagstuhl Seminar 15101&#13;
"Bridging Information Visualization with Machine Learning". This seminar is &#13;
a successor to Dagstuhl seminar 12081 "Information Visualization, Visual Data&#13;
Mining and Machine Learning" held in 2012. The main goal of this second&#13;
seminar was to identify important challenges to overcome in order to build&#13;
systems that integrate machine learning and information visualization.</dc:description>
          <dc:publisher>Schloss Dagstuhl – Leibniz-Zentrum für Informatik</dc:publisher>
          <dc:contributor>Daniel A. Keim and Tamara Munzner and Fabrice Rossi and Michael Verleysen</dc:contributor>
          <dc:date>2015</dc:date>
          <dc:relation>Is Part Of Dagstuhl Reports, Volume 5, Issue 3 (2015)</dc:relation>
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