Many of the fuzzy-rough feature selection measures have been ported to Weka – the standalone program (i.e. the executable jar) is here. (last update: Sept 17th, 2015).

If you want to process larger datasets, then you’ll need to change the Java heap size. An easy way of doing this is to put this file: run.bat in the same directory as Weka (above) and double-click it. You can edit this file to increase or decrease the heap size.

Many of the algorithms can be found in KEEL and some have also been ported to R.

A worksheet that explains how to use Weka and the implemented fuzzy-rough algorithms can be found here.

FuzzyRoughSubsetEval contains various measures and the option of selecting connectives, similarity measures etc. HillClimber is similar to Weka’s Greedy Stepwise search, but allows search to a degree alpha (for alpha-decision reducts) and search using non-monotonic measures (such as VQRS). AntSearch implements ACO-based search and includes the option of using any subset evaluator for the initial heuristic matrix and subset evaluation. PSOSearch implements search based on binary particle swarm optimization.

In the Classifiers section, there is now a range of fuzzy-rough classifiers including fuzzy-rough nearest neighbours and QuickRules.

26 thoughts on “Weka”

  1. It is really a commendable work. I really like people contributing their algos to WEKA. In no time Weka will emerge has a standard platform for data mining.

      1. I could download. But i am not getting the icon to run. How to do that?. Can you explain please.

  2. I was looking for something which can be used on macbook! anyway your version beautifully functioned on my pc! thanks again 🙂

  3. I have put the batch file in the same directory where i have downloaded weka. When I double clicked batch file, a blinking black screen appeared and disappeared.

    1. Sorry, then, I don’t know what the problem is. If other executable jar files work then I’m not sure what’s going wrong. If other executables don’t work then you could try reinstalling the JRE.

  4. Hi
    How should I add and write a program in weka? for example use weka in netbean
    I want to mix genetic algorithm and Iaco as feature selection and add it to weka
    Do you have a refrence to propose me?

  5. I used your weka.jar file. if I take the text file other than english there is not having any option for utf8 as in the original weka have. could you tell me how I used utf8 in your WEKA jar file

      1. I used GUI based original WEKA in that I used TextDirectoryLoader. here I am getting four option namely CharSet, debug, directory, outputfile name. but in your weka jar file charset missing. therefore I am unable to do any operation on non english text. please suggest option in your weka jar file ( GUI based)

  6. Thank you so much for your site, it has really been helpful to me. I am using the WEKA version of your tool. In WEKA filters, and supervised instances, you have a number of filters for preprocessing, i was wondering if you have written anything about the following filters;


    or if you can give me links to where i can learn about how they work theoritically .

    Kind Regards,

  7. Dear Dr. Jenson,
    This query is related to the rough fuzzy based WEKA tool available from your website (http://users.aber.ac.uk/rkj/?page_id=139) and working with noisy data. You have added two filter to add noise to a dataset. Would it be possible to provide some more details (or even the publications discussing the details of these two noises)) about both ” weka.filters.unsupervised.attribute.AddConditionalNoise” and “weka.filters.supervised.attribute.AddClassNoise”


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