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Lack of proper anonymization or pseudonymization introduces risks; if there is a data breach, huge penalties are applied for non-compliance with GDPR. Even if you think you’ve analyzed your data and believe it to be anonymized, there are assessment techniques that can measure the risks. In this workshop you’ll learn how to work with the new Privacy Extension for KNIME, which utilizes advanced anonymization techniques.

This workshop is run by Artem Ryasik & Jan Lindquist (Redfield).

We’re keeping the KNIME Community connected throughout April and May by bringing you a series of online events. Find more here:

More online workshops

April 9KNIME Text Mining with NER Modeling and Deep Learning
April 16Sharing & Deploying Data Science with KNIME Server
April 21Working with the RDKit in KNIME Analytics Platform
April 23Time Series Analysis Workshop
April 28Text Mining on Biomedical Literature – Today: Topic Modeling
April 30Guided Labeling: Human-in-the-Loop Label Generation with Active Learning & Weak Supervision
May 5Behind the Scenes of Machine Learning
May 7Building a Drug Discovery Workflow in 8+1 steps with KNIME
May 12Deep Learning for Image Analysis
May 14KNIME Big Data Workshop

FAQ

How do I join the workshop?

You’ll receive a zoom link with your registration confirmation. Make sure you have a stable internet connection!

Will I be able to ask questions?

Yes, we will have a Q&A and we’ll do our best to answer these at the end of the workshop.

Where do I find the latest version of KNIME Analytics Platform?

Download the latest free, open source version of knime here: knime.com/download

What other resources will help me to get started in KNIME?

Check out our E-Learning Course, KNIME Books, Cheat Sheets, KNIME Forum, and KNIME Hub.