The workflow starts reads ten famous fairy tales of the Brothers Grimm and two dictionaries containing the names or part of the names. Branch 1: The words of the first dictionary are searched by the …

Introduction to Machine Learning Algorithms course - Session 4 Solution to exercise 3 Apply the following dimensionality reduction techniques to the data: - Filter out columns with a low variance - F…

Here we use word embedding instead of hot encoding, using a Word2Vec Learner node. The hidden layer size is set to 10, therefore producing an embedding with very small dimensionality. The output of t…

This workflow allows the user to download the dataset. Note that the tar.gz file is ~ 2Gb. Original research article: Meng, Tao, et al. "Histology image classification using supervised classification…

This workflow is part of a number of other workflows that address a data mining scenario at the intersection of active learning, text mining, stream mining and service-oriented knowledge discovery ar…

This workflow allows to delete items form a KNIME Server Recycle Bin. Admin Server Credentials are required to execute this workflow.

This workflow trains a linear regression model that predicts the amount of a credit. The performance of the linear regression model is evaluated with the Numeric Scorer node. The assumptions of the l…

This workflow shows how to create an MLP with a softmax layer for classification.

This workflow demonstrates different time series functionality. As the usage of various time series nodes for analyzing currency exchange rates.

This workflow is an example of how to use the Parameter Optimization component. It optimizes the parameter of the adult dataset.

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…

This application is a simple example of AutoML with KNIME Software for binary and multiclass classification. The output models are then explained via the interactive XAI View, which works for any mod…

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…