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)
(2) Some improvements to the graphical user interface, such as shown below, such as colors to highlight algorithm categories and a window icon:
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