<div dir="ltr"><div class="gmail_quote"><div dir="ltr" class="gmail_attr"><span style="color:rgb(0,0,0);font-family:Calibri,Arial,Helvetica,sans-serif;font-size:12pt">This Webinar will be hosted by ASIS&T. Registration for DCMI webinars is currently free of charge, but you will need to use the
</span><b style="color:rgb(0,0,0);font-family:Calibri,Arial,Helvetica,sans-serif;font-size:12pt">discount code 'dcmi25' </b><span style="color:rgb(0,0,0);font-family:Calibri,Arial,Helvetica,sans-serif;font-size:12pt">when you register. </span><a href="https://associationforinformationscienceandtechnologyasist.growthzoneapp.com/ap/Events/Register/Mp5qMMWp" rel="noopener noreferrer" target="_blank" style="font-family:Calibri,Arial,Helvetica,sans-serif;font-size:12pt">
Full details, including instructions for joining the webinar</a>.<br></div><div dir="ltr"><div class="gmail_quote"><div dir="ltr"><div dir="ltr"><span style="font-size:12pt;color:rgb(0,0,0);font-family:Calibri,Arial,Helvetica,sans-serif"><br></span></div><div dir="ltr"><span style="font-size:12pt;color:rgb(0,0,0);font-family:Calibri,Arial,Helvetica,sans-serif">About the webinar: </span><a href="https://www.dublincore.org/news/2021/02-10-webinar-introduction-to-knime/" style="font-size:12pt;font-family:Calibri,Arial,Helvetica,sans-serif" target="_blank">
https://www.dublincore.org/news/2021/02-10-webinar-introduction-to-knime/</a></div><div dir="ltr"><br></div><div class="gmail_quote"><blockquote class="gmail_quote" style="margin:0px 0px 0px 0.8ex;border-left:1px solid rgb(204,204,204);padding-left:1ex"><div dir="ltr"><div class="gmail_quote"><div dir="ltr">
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<span style="line-height:28px;font-size:20px">KNIME Analytics Platform (DCMI)</span></p>
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<br style="line-height:inherit">
 <strong style="line-height:inherit">Magnus Pfeffer and Kai Eckert<br style="line-height:inherit">
February 10, 11:00 AM EST - 12:00 PM EST</strong></p>
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<span style="line-height:19.2px;font-size:16px">KNIME Analytics Platform is an open source software for working with all kinds of data. It uses visual workflows that are created with an intuitive, drag and drop style graphical interface,
 without the need for coding. The webinar will give an introduction to KNIME and focus on data blending and shaping.</span></p>
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<span style="line-height:19.2px;font-size:16px">All data files and KNIME workflows used in the webinar will be made available after the webinar, so participants can reproduce the demonstrated steps on their own computers.</span></p>
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<span style="line-height:19.2px;font-size:16px">1) Attendees will be introduced to the KNIME Analytics Platform
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<span style="line-height:19.2px;font-size:16px">2) Data cleaning techniques such as data blending and shaping will be demonstrated.
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<span style="line-height:19.2px;font-size:16px">3) Attendees will learn about machine learning models and their role in optimizing workflow performance and application to validation metrics.
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<span style="line-height:19.2px;font-size:16px">Through the generosity of DCMI, this webinar is being offered complimentary to all registrants who attend the live presentation.</span></p>
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<span style="line-height:19.2px;font-size:16px">Dr. Kai Eckert is professor for web-based information systems at Stuttgart Media University, Germany. His research interests include linked data, data integration and enrichment, knowledge
 organization and data provenance.</span></p>
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<span style="line-height:19.2px;font-size:16px">Magnus Pfeffer is professor for information management at Stuttgart Media University, Germany. His research interests include linked data, metadata integration, information retrieval in heterogeneous
 datasets and machine learning.</span></p>
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