In this example an ontology in OWL format was used. After loading the OWL file using the Triple File Reader node, the triples will be stored in a SPARQL Endpoint that allows then to write SPARQL quer…

This workflow uses a semantic web technology - OWL - to extract knowledge from an ontology on pizza. The workflow uses the Triple File Reader node to extract the content in the OWL file format. Based…

This workflow uses a query against a SQL version of the ChEMBL database to retrieve a bunch of information about user-provided targets. It's primarily intended to be used as either a web service (dep…

This workflow calculates Fibonacci sequence numbers F0, F1, F2, F3... using TimeDelay Loop. The workflow needs input Fn at the beginning in order to create n+1 Fibonacci numbers. In the final table R…

Demonstrates use of RDKit functionality to identify the likely scaffold for a set of compounds from a paper and then determine the sidechains from the molecules matching that scaffold. The results ar…

In this workflow we are fine-tuning a VGG1G network, similar to "Fine-tune VGG16 (Python)". However, we won't make use of the DL Python Learner/Executor nodes, rather we use the DL Keras Network Lear…

Exercise 10 for the KNIME Analytics Platform for Data Wranglers course - Filter rows by an attribute value - Filter rows by an attribute value that fulfils a condition and that is updated automatical…

This workflow shows how to predict box-office success categories using only plot summries (i.e., storylines): Read the data from the Excel file. Structure the data via Bag-of-Words and LDA approaches…

This workflow trains a support vector machine regression model to predict the burning area in a forest fire in the Montesinho natural park in Portugal. The prediction is based on the current weather …

This workflow, the deployment workflow, reads the trained model, as well as the new transaction and applies the model to classify it. Like in the training workflow we use a Rule Engine node to apply …

Automated access to disease information is an important goal of information extraction and text mining efforts. Here, we want to create a model that learns disease names in a set of documents from bi…

This workflow creates a report about a workflow by extracting all metadata information about that workflow and combining it with an image of the workflow. The example uses the Analyze Workflow Summar…

Similar to the workflow "Generating Gaussian Clusters", this workflow generates three clusters with three dimensions. Note that here, they are generated in parallel and joined afterwards.

Simple workflow demonstrating the usage of the 'Generic Loop Start' node and the 'Variable Condition Loop End' node.

Simple workflow demonstrating the usage of the 'Generic Loop Start' node and the 'Variable Condition Loop End' node.

This workflow shows how to use cross-validation in H2O using the KNIME H2O Nodes. In the example we use the H2O Random Forest to predict the multiclass response of the IRIS data set using 5-folds and…

This example shows how to build an H2O GLM model for regression, predict new data and score the regression metrics for model evaluation. 1. Prepare: Load the carspeed data, import the resulting KNIME…

This tutorial workflow shows a High-content screening workflow. Of course parameters and methods have to be adjusted for your problem, but this is a good starting point.

This workflow demonstrates the usage of the Hive to Spark and Spark to Hive nodes that allow you to transfer data between Apache Spark and Apache Hive. To run this workflow on a remote cluster, use a…

The workflow learns a decision tree on a data set and applies the model on a new data set, whereby the distribution is shown in small histogram depiction.