This Webinar will be hosted by ASIS&T. Registration for DCMI webinars is
currently free of charge, but you will need to use the *discount code
'dcmi25' *when you register. Full details, including instructions for
joining the webinar
<https://associationforinformationscienceandtechnologyasist.growthzoneapp.com/ap/Events/Register/Mp5qMMWp>
.

About the webinar:
https://www.dublincore.org/news/2021/02-10-webinar-introduction-to-knime/

[image: Image]
>
> KNIME Analytics Platform (DCMI)
>
>
>
> *Magnus Pfeffer and Kai Eckert February 10, 11:00 AM EST - 12:00 PM EST*
>
> 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.
>
>
>
> 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.
>
>
>
> 1) Attendees will be introduced to the KNIME Analytics Platform
>
> 2) Data cleaning techniques such as data blending and shaping will be
> demonstrated.
>
> 3) Attendees will learn about machine learning models and their role in
> optimizing workflow performance and application to validation metrics.
>
>
>
> Through the generosity of DCMI, this webinar is being offered
> complimentary to all registrants who attend the live presentation.
>
> *Presenters*
> [image: Image]
>
>
> 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.
>
>
>
> 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.
> REGISTER NOW
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