As far as I know you can but a little improvisation is neccessarily, or for now you can't do it directly from Imbalance Learning module. First, open Data Management module in Keel software and import desired data from any folder on your PC - select desired input format (e.g. weka 2 keel) and save file under new folder in main data folder of the extracted Keel software map (e.g. D:\Keel_Software-2015-03-23\dist\data). In same data folder you will notice Datasets.xml - open it in text editor (e.g. Notepad ++) and copy part which refers to your imported dataset (usually last dataset in list - copy all from ..to.. ). Open DatasetsImbalanced.xml in editor and paste that code in it - save all changes (be carefull not to modify other lines in that file). Now, when you open Imbalanced Learning modul you will have that dataset under User Datasets section.

Thank you so much Dear Ante Panjkota

Thanku Ante Panjkota...this has helped a lot.

After following what u asked ,the dataset has been inducted in the imbalanced KEEL module but after running the experiment the results files are empty. Although the console shows "experiment completed successfully". what could be the possible reason for this?

The newest version of KEEL Software (ver. 3.0 from 2016-05-17) simplified the process of importing new datasets into any module. After downloading that version go to Data management section --> Import Data --> Import Dataset --> Select desired input format (e.g., weka 2 keel) and chose particular file --> checkbox Import to the Experimental Section need to be thicked - real data OR laboratory if you have synthetic data --> check User Dataset --> Save --> give some name --> Select Imbalanced if you want to experiment with that dataset in imbalanced module --> No to edit dataset --> Yes to make partitions --> pick appropriate K-fold CV --> Divide --> Close after dataset has been created. Now, in modules --> Imbalanced Learning --> under the KEEL Dataset pane you will have new dataset ready for experiments :) --> Confirm partition creation --> if you want another K-folds CV instead default 5-folds click on edit and remove initial fold --> Add the desired k-fold cv --> with this process you can define different K-fold CV.

Regarded results --> install a latest stable version of Java (min. java 1.7 version) --> you can check current java version from the command line or terminal if you are running Linux distro (type command --> java -version).

Hope that everything should work well in your experiments.