Solution to exercise 2 for the KNIME Analytics Platform for Data Wranglers course - Convert a column from number to string - Concatenate data from two different sources - Join two database tables (us…

The purpose of this workflow is to showcase the ease of use of the H2O functionalities from within KNIME. As a real world usecase we chose the "Restaurant Visitor Forecasting" competition on Kaggle.c…

This workflow demonstrates how to insert semantic web triples to named graphs and shows the result from possible queries.

Demonstrates how to create a REST-based web service that can be deployed via the KNIME Server.

This workflow creates an ESCO network with SQLite. It pulls data from text files - ESCO dataset - places them in a database, extracts and manipulates graph data and visualizes the results in OrientDB…

These workflows demonstrate interesting way to use loops. They replicate functionality that's available as a set of nodes

This workflow shows how to use an MLP for regression of simple functions. Workflow Requirements KNIME Analytics Platform 3.4.0 KNIME Deeplearning4J Integration

This workflow shows the seasonality of time series (energy consumption) in an autocorrelation plot. The seasonality is removed by differencing the time series at the lag where the maximum peak is det…

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This workflow explains the different Table Creation Modes of the KNIME Image Processing Nodes.

In this tutorial you learn how the Apply Color Settings To Labels Node helps you to control the colors of your labels.

The World Health Organisation (WHO) provides a wide range of data on health related topics. Here we show how to access data from their RESTful webservice, which provides information on causes of deat…

This workflow implements a basic customer segmentation through a clustering procedure. No input is required from the business analyst.

This workflow is part of the model factory eco system. Please refer to our white paper for further details.

This workflow is part of the model factory eco system. Please refer to our white paper for further details. Use this workflow to see how often your models will be retrained and how the error is evolv…

This workflow shows an example of image classification of celebrity faces using AlexNet. Note: Due to the size of the network, this workflow has a very long execution time. Furthermore, you may exper…

Illustrates how differently median and average filters perform on salt-and-pepper-noisy images.

This workflow uses a portion of the Irish Energy Meter dataset, and presents a simple analysis based on the whitepaper "Big Data, Smart Energy, and Predictive Analytics". It is intended to highlight …