This workflow was created with the intention to show how to use and work with the Amazon Comprehend & Translate nodes. Possible Use Case: International assignments: due to increasing internationaliza…

This workflow demonstrates how to connect to various Google Cloud Services such as Google BigQuery, Google Dataproc, and Google Cloud Storage from within KNIME Analytics Platform. The Google Authenti…

This workflow shows how to use the Weak Label Model Learner and Predictor nodes to aggregate sources of weak supervision such as weak models or simple rules into a single strong source that can be us…

Here we demonstrate how a workflow can execute another server, lying on the KNIME Server. First the file is read using the File Reader. The file contains the german credit data which we want to score…

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…

This workflow describes the network creation process and specifically creates the drug-drug co-occurence network. Here, we use the Network Creator node to create an empty network that can be filled w…

Erode shrinks bright areas. This can e.g. be used to remove white spots from images.

After the data is normalized and partitioned, Multi-Layer-Perzeptron (MLP) is trained and applied.

This workflow demonstrates the usage of the Hive to Spark and Spark to Hive nodes that allow you to transfer data between Spark and Hive.

This workflow demonstrates the usage of the Spark MLlib to PMML node. Together with the Compiled Model Predictor and the JSON Input/Output node it can be used to model a so called lambda architecture…

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

- Append color information based on class labels - Split data into training and test set - Train decision tree classifier on training set - Apply trained model on test set - Score model

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 DB Exercise #2

There has been no description set for this workflow's metadata.

Big Data Course Hadoop 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.

The goal of the workflow is to demonstrate the creation and working with collection cells. It is divided into three parts. The "Collection types" section describes the two different collection types …

It takes a JSON-object of a predefined format, processes it (checking if for prime numbers) and outputs another JSON-object. Typically an instance of this workflow would be instantiated once (or mult…

In this use case, we use the NYC taxi dataset and a Random Forest to train a simple time series prediction model to predict taxi demand in the next hour based on data from past hours. For better scal…