Hub
  • Software
  • Blog
  • Forum
  • Events
  • Documentation
  • About KNIME
  • KNIME Hub
  • knime
  • Spaces
  • Just KNIME It!
  • Challenge 14 - Removing Noise from Data - Solution
WorkflowWorkflow

Removing Noise from Data

Justknimeit Justknimeit-14 String processing

Last edited: 

Drag & drop
Like
Download workflow
Copy short link
Workflow preview
You are working with audio recognition data tables such that each table’s initial and final rows contain zeroes. These beginning and ending zeroes are irrelevant noise that must be removed. Here is an example of such a data table: 0 0 8 0 7 1 0 Your goal is to only remove these unnecessary starting and trailing zeroes. You must keep the zeroes in the middle of the data, which do not constitute noise. As well, the position of the starting and trailing zeroes differs per data table, so a good solution probably requires flow variables for flexibility (although there may be other solutions which do not involve flow variables).

Used extensions & nodes

Created with KNIME Analytics Platform version 4.5.2
  • Go to item
    KNIME Base nodes Trusted extension

    KNIME AG, Zurich, Switzerland

    Version 4.5.2

  • Go to item
    KNIME Javasnippet Trusted extension

    KNIME AG, Zurich, Switzerland

    Version 4.5.0

  1. Go to item
  2. Go to item
  3. Go to item
  4. Go to item
  5. Go to item
  6. Go to item

Legal

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

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
© 2022 KNIME AG. All rights reserved.
  • Trademarks
  • Imprint
  • Privacy
  • Terms & Conditions
  • Credits