This workflow is the first one executed by the model factory. It loads locally stored data into Model Factory. The data is provided in Metainfo/Bioactivity/Training_data folder. The data comes from C…

This workflow demonstrates basic cheminformatics functionality within KNIME Analytics platform: Reading and writing various chemistry data formats; canonalization of chemical structures; duplicate fi…

Big Data Course Hadoop Exercise #1 Make sure you have executed the /2_Hadoop/2_Exercises/00_Setup_Hive_Table workflow during your current KNIME session before running this workflow.

Big Data Course Spark Exercise #1 Make sure you have executed the /2_Hadoop/2_Exercises/00_Setup_Hive_Table workflow during your current KNIME session before running this workflow.

Customer Experience and Sentiment Analysis Use Case: Model Building Workflow Comments were collected from SKYTRAX which are about customer comments related with their satisfaction level of airline co…

Big Data Course Spark Exercise #2 Make sure you have executed the /2_Hadoop/2_Exercises/00_Setup_Hive_Table workflow during your current KNIME session before running this workflow.

Big Data Course DB Exercise #3

Big Data Course DB Exercise #3 Solution

Big Data Course DB Exercise #4

In this exercise we expand our results by finding building blocks similar to those we selected in the previous exercise (03_Clustering). The catalog of building blocks is taken from : https://zinc15.…

This workflow is part of a collection of exercise/solution materials used at a hands on workshop held at German Conference for Bioinformatics (GCB-2020). The title of the workshop is "Binding Prefere…

This workflow is part of a collection of exercise/solution materials used at a hands on workshop held at German Conference for Bioinformatics (GCB-2020). The title of the workshop is "Binding Prefere…

This example workflow is licensed under the MIT License. See LICENSE.txt in the workflow directory for details.

This workflow shows 2 examples of parameter optimization in a decision tree and in a logistic regression. In the decision tree we optimize the minimum number of records per node within a range [2,15]…

This workflows shows examples of Active Learning with the Exploration vs Exploitation strategy taken from Cebron et al, 2008, called Prototype Based Active Learning (PBAC). Exploration vs exploitatio…

This workflow defines a fully automated web based application that will label your data using active learning. The workflow was designed for business analysts to easily go through documents to be lab…