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<oembed><version>1.0</version><provider_name>Arbeitsgemeinschaft der Universit&#xE4;tsverlage</provider_name><provider_url>https://universitaetsverlage.eu</provider_url><author_name>XMLRPC</author_name><author_url>https://universitaetsverlage.eu/author/xmlrpc/</author_url><title>Special Issue: Selected Papers of the 3rd German-Polish Symposium on Data Analysis and Applications - Arbeitsgemeinschaft der Universit&#xE4;tsverlage</title><type>rich</type><width>600</width><height>338</height><html>&lt;blockquote class="wp-embedded-content"&gt;&lt;a href="https://universitaetsverlage.eu/bucher-e-books/titel/special-issue-selected-papers-of-the-3rd-german-polish-symposium-on-data-analysis-and-applications/"&gt;Special Issue: Selected Papers of the 3rd German-Polish Symposium on Data Analysis and Applications&lt;/a&gt;&lt;/blockquote&gt;
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&lt;/script&gt;&lt;iframe sandbox="allow-scripts" security="restricted" src="https://universitaetsverlage.eu/bucher-e-books/titel/special-issue-selected-papers-of-the-3rd-german-polish-symposium-on-data-analysis-and-applications/embed/" width="600" height="338" title="&#x201E;Special Issue: Selected Papers of the 3rd German-Polish Symposium on Data Analysis and Applications&#x201C; &#x2014; Arbeitsgemeinschaft der Universit&#xE4;tsverlage" frameborder="0" marginwidth="0" marginheight="0" scrolling="no" class="wp-embedded-content"&gt;&lt;/iframe&gt;</html><thumbnail_url>https://universitaetsverlage.eu/wp-content/uploads/asolmerce/image-9783731505815.jpg</thumbnail_url><thumbnail_width>453</thumbnail_width><thumbnail_height>640</thumbnail_height><description>The first volume of Archives of Data Science, Series A is a special issue of a selection of contributions which have been originally presented at the {em 3rd Bilateral German-Polish Symposium on Data Analysis and Its Applications} (GPSDAA 2013). All selected papers fit into the emerging field of data science consisting of the mathematical sciences (computer science, mathematics, operations research, and statistics) and an application domain (e.g. marketing, biology, economics, engineering).</description></oembed>
