Introductory

Hi,

    I am new to Knime. I heard knime was a predictive tool, analysis and bit poor in visualization.

When I started reading about knime, I found the phrase " knime help to produce patters with the data already existing and help to predict.

What actually the word "pattern mean in knime" ??

how can we produce the patterns using knime??


Is it necessary to know "Machine learning and R " for generating patterns with existing data ?

 

Can anyone can help me out please.

 

Hey,

you can use KNIME for many different tasks, among others for prediction, analysis and visualization (we are getting better on this. Give the JavaScript Plots a try).

Pattern is a really generic term and can mean many different things. A clustering analysis can be understood as a classic example for finding patterns, in this case similar groups, in data. I guess it is more about finding patterns than producing patterns, as you are looking at already existing data in most of the cases.

You don't need to know how to code in R to use KNIME. That is what KNIME is about, analyzing and processing data without the need to code. Of course you can still add code, if you want to. If you want to apply data mining or machine learning with KNIME, I strongly recommend you to gain at least basic knowledge about the relevant techniques beforehand. Otherwise you will have a hard time setting up your workflow and interpreting the results. A good starting point might be our training material: https://www.knime.com/knime

Hope that helps.

Cheers,
Marten