Hub
  • Software
  • Blog
  • Forum
  • Events
  • Documentation
  • About KNIME
Sign in
  • KNIME Hub
  • knime
  • Spaces
  • Examples
  • 02_ETL_Data_Manipulation
  • 02_Aggregations
  • 02_Working_with_Collection_Supported_Nodes
WorkflowWorkflow

Working With Collections - Supported nodes

ETL Collections Set Finder

Last update: 

Drag Workflow
Workflow preview
The goal of the workflow is to demonstrate the creation and working with collection cells. It is divided into three parts. The last section "Working with collections" demonstrates a sub set of the nodes that support collections such as the Item Set Finder (Borgelt) node which searches in a collection column for frequently co-occuring elements. Required plugins: - KNIME Itemset Mining (contains the Item Set Finder (Borgelt) node) General Information Press the green double arrow above to run the complete workflow. The KNIME data table outport view displays by default only the first part of a collection cell. If you want to view all elements of a collection change the cell renderer via the column context menu. To open the context menu click with the right mouse button on the column header e.g. (...)Characters in the table outport view of the top left GroupBy node. Select the Collection(full) renderer from the available renderes. Notice other data types allow you to change the cell renderer as well e.g. multi line renderer for string or full precission renderer for double values.

Used extensions & nodes

Created with KNIME Analytics Platform version 4.1.1
  • KNIME Core Trusted extension

    KNIME AG, Zurich, Switzerland

    Version 4.1.0

  • KNIME Itemset Mining Trusted extension

    KNIME AG, Zurich, Switzerland

    Version 4.1.0

Legal

By downloading the workflow, you agree to our terms and conditions.

License (CC-BY-4.0)
Short link
Discussion
Discussions are currently not available, please try again later.

KNIME
Open for Innovation

KNIME AG
Hardturmstrasse 66
8005 Zurich, Switzerland
  • Software
  • Getting started
  • Documentation
  • E-Learning course
  • Solutions
  • KNIME Hub
  • KNIME Forum
  • Blog
  • Events
  • Partner
  • Developers
  • KNIME Home
  • KNIME Open Source Story
  • Careers
  • Contact us
Download KNIME Analytics Platform Read more on KNIME Server
© 2021 KNIME AG. All rights reserved.
  • Trademarks
  • Imprint
  • Privacy
  • Terms & Conditions
  • Credits