This is to announce that a new version of SPMF has been released on the 27th November 2022. This version has 7 new pattern mining algorithms:
- the HUCI-Miner algorithm to mine closed high utility itemsets and generators at the same time (thanks to Jayakrushna Sahoo et al. for the original code )
- the FHIM algorithm to mine all high utility itemsets (thanks to Jayakrushna Sahoo et al. for the original code)
- the HGB algorithm to mine non redundant high utility association rules (thanks to Jayakrushna Sahoo et al. for the original code)
- the HGB-all algorithm to derive all high utility association rules from the non redundant high utility association rules (thanks to Jayakrushna Sahoo et al. for the original code)
- algorithms for mining sequential patterns with flexible constraints in a time-extended sequence database (eg. MOOC data)
- the SPM-FC-L algorithm fi (Thanks to Wei Song et al. for the original code)
- the SPM-FC-P algorithm (Thanks to Wei Song et al. for the original code)
- the SPM-FC-L algorithm fi (Thanks to Wei Song et al. for the original code)
Besides, it has several new features such as:
(1) An integrated text editor to open output file (to give an alternative to the system’s default text editor)
![](https://data-mining.philippe-fournier-viger.com/wp-content/uploads/2022/11/image-58.png)
![](https://data-mining.philippe-fournier-viger.com/wp-content/uploads/2022/11/image-56-903x1024.png)
(2) Some improvements to the graphical user interface, such as shown below, such as colors to highlight algorithm categories and a window icon:
![](https://data-mining.philippe-fournier-viger.com/wp-content/uploads/2022/11/image-57.png)
And some bugs have been fixed.
Besides a new MOOC.txt dataset of sequences of courses with timestamps has been added to the dataset page of SPMF.
Thanks again to all users and contributors to SPMF!
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Philippe Fournier-Viger is a distinguished professor of computer science