Icon

justknimeit-14

Description: 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).

input dataforwardbackwardoriginal orderfiltercleanupCSV Reader Moving Aggregation Sorter Counter Generation Moving Aggregation Sorter Rule-basedRow Filter Column Filter input dataforwardbackwardoriginal orderfiltercleanupCSV Reader Moving Aggregation Sorter Counter Generation Moving Aggregation Sorter Rule-basedRow Filter Column Filter

Nodes

Extensions

Links

Download

To use this workflow in KNIME, download it from the below URL and open it in KNIME:

Download Workflow
Created by: hans
Created at: 2022-04-15
On NodePit since: 2022-04-27
Last update: 2024-11-21
Created with KNIME version: v4.5.0
Tags: moving aggregationrow filterjust KNIME it

Deploy, schedule, execute, and monitor your KNIME workflows locally, in the cloud or on-premises – with our brand new NodePit Runner.

Try NodePit Runner!