Tutorial-L_Outlier-Removal
<p>This tutorial is part of a series of tutorials on the topic of data preparation (Tutorial_G – Tutorial_O). These tutorials are included in the book, <em>Handbook of Statistical Analysis, AI, and ML Applications (Elsevier Publishers, 2025). </em>These tutorials will guide you to build KNIME workflows to perform common data preparation tasks. You can adapt these workflows easily to load and process your own datasets.</p><p>---</p><p>The publisher has graciously permitted these tutorials to be included on the KNIME Community Hub and has provided the 30% discount code <em>MATH30</em> to purchase the book from https://shop.elsevier.com/books/handbook-of-statistical-analysis/nisbet/978-0-443-15845-2.</p>
This tutorial is part of a series of tutorials on the topic of data preparation (Tutorial_G – Tutorial_O). These tutorials are included in the book, Handbook of Statistical Analysis, AI, and ML Applications (Elsevier Publishers, 2025). These tutorials will guide you to build KNIME workflows to perform common data preparation tasks. You can adapt these workflows easily to load and process your own datasets.
---
The publisher has graciously permitted these tutorials to be included on the KNIME Community Hub and has provided the 30% discount code MATH30 to purchase the book from https://shop.elsevier.com/books/handbook-of-statistical-analysis/nisbet/978-0-443-15845-2.
Nodes
- No nodes found
Extensions
- No modules found
Links
- No links available