The Data Mining Forum                             open-source data mining software data science journal data mining conferences machine learning in software engineering MLISE 2021 utility mining workshop at ICDM 2021
This forum is about data mining, data science and big data: algorithms, source code, datasets, implementations, optimizations, etc. You are welcome to post call for papers, data mining job ads, link to source code of data mining algorithms or anything else related to data mining. The forum is hosted by P. Fournier-Viger. No registration is required to use this forum!.  
SPMF 2.49 - 11 new algorithms, including for class association rules
Date: August 13, 2021 08:55AM

Hi all,

This is to let you know that a new version of SPMF (v. 2.49) has been released.

It includes 11 new algorithms.

- 9 new algorithms are for classification using association rules, something that was missing in SPMF until now.
- 1 algorithm called HUIM-AF uses artificial fish swarm for high utility itemset mining
- And the last algorithm is an implementation of KNN for classification.
- Besides, I have added some code to automatically compare the performance of various classifiers including the association rule-based classifiers and KNN and ID3 (decision tree).

For more details about this release, see the download page: http://www.philippe-fournier-viger.com/spmf/index.php?link=download.php

I will continue working on SPMF as always. There are several things to do, now for the next release. In particular some algorithms are still waiting to be integrated in the project, and there are still a few bugs that need to be fixed such as the bug in CHUI-Miner(max) that I did not have time to fix yet.

If you want to include the code of a new algorithm in SPMF, feel free to contact with me, or if you have some bug to report or other suggestions!

As always thanks for your support! This project is still alive due to the many users who have been using this software over the year :-)

Options: ReplyQuote


This forum is powered by Phorum and provided by P. Fournier-Viger (© 2012).
Terms of use.