I have a table with attribute like acclon, acclat, pedal, speed, driver and I want to divide it manually like first division start from speed attribute into two part according to the set values & next division should divide from acclon into part according to set values and so on...
Can anyone help me how these implementation possible in KNIME. I try it but it is only dividing with one attribute like speed & till end of tree it will be dividing by speed only.
Do I need to create a new node for manually splitting, then it is possible??? or it is possilbe in decision tree learner node???
You are probably looking for an interactive decision tree learner, which we currently don't have. However, if you are looking for a way to partition your data given a criteria (that you need to implement, i.e. in a Java Snippet), you might want to check out the delegation nodes (from the Ensemble Plug-in) and used them to recursively go through you spitted data. If you want to implement your own node, have a look at the KNIME SDK.
but what kind of input i need to connect the delegation nodes. I mean right now I have a table with some column as string and number. but when i connect to delegation node then configuration click is inactive.