Icon

Example Workflows

This directory contains 58 workflows.

Icon01_​Learning_​a_​Simple_​Regression_​Tree 

This workflow illustrates how to use the Simple Regression Tree nodes to predict the value of a numerical target column. URL: Regression Tree […]

Icon01_​Performing_​a_​k-Means_​Clustering 

This workflow shows how to perform a clustering of the iris dataset using the k-Means node.

Icon01_​Performing_​a_​k-Means_​Clustering1 

This workflow shows how to perform a clustering of the iris dataset using the k-Means node.

Icon01_​Tess4J 

This workflow shows an example of Optical Character Recognition (OCR) using Tess4J.

Icon01_​Training Random Forest for Fraud Detection 

The workflow reads in the creditcard.csv file and trains and evaluates a Random Forest model to classify transactions as either fraudulent or not. Notice […]

Icon01_​Transform_​Using_​Group_​By_​and_​Joiner_​nodes 

In this workflow, a number of ETL operations are performed on the sales2008-2011.csv dataset. Besides showing what ETL features are, the goal of this […]

Icon01_​Using_​Python_​Script_​in_​Databases 

This workflow demonstrates the usage of the Python Script (DB) node that allows you to access data from a database directly within your Python script. Using […]

Icon02_​kMeans 

This workflow performs clustering of the iris dataset using k-Means. Two workflows: one to build the k-Means prototypes (top) and one to apply them to new […]

Icon02_​Output_​Data_​Tables 

This workflow shows how to write a Pandas DataFrame or a PyArrow Table as a KNIME table using the Python Script node. After writing the file, it can be used […]

Icon03_​Analyze_​Clustering_​location_​data 

In this workflow, we perform a Clustering task on location data where we have longitude and latitude information. We use the k-means algorithm to cluster […]