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SPMF version 2.37
Posted by:
webmasterphilfv
Date: January 26, 2019 08:21AM
Hello all,
I have uploaded a new version of SPMF, called 2.37.
It includes a few new algorithms:
- the LHUI-Miner algorithm for discovering the local high utility itemsets from a transaction database with timestamps and utility information . Those are itemsets that have a high utility during some non predefined time intervals (thanks to Yimin Zhang et al. ).
- the PHUI-Miner algorithm for discovering the peak high utility itemsets from a transaction database with timestamps and utility information .Those are itemsets that have a utility that is much higher than usual (a peak) during some non predefined time intervals (thanks to Yimin Zhang et al.).
- the VHUQI algorithm for discovering quantitative high utility itemsets in a transaction database with utility information (modified and integrated from code under the GPL license from UP-Miner)
- the Occur algorithm for finding all occurrences of some sequential pattern(s) in sequences (by post-processing). This algorithm must be applied on the sequential patterns found by another sequential pattern mining algorithms such as CM-SPAM and PrefixSpan.
Also, it includes a bug fix for the implementations of CPT and the GoKrimp algorithms.
Besides, I have uploaded a few new datasets to the dataset page.
Thanks again for using SPMF!
Philippe
I have uploaded a new version of SPMF, called 2.37.
It includes a few new algorithms:
- the LHUI-Miner algorithm for discovering the local high utility itemsets from a transaction database with timestamps and utility information . Those are itemsets that have a high utility during some non predefined time intervals (thanks to Yimin Zhang et al. ).
- the PHUI-Miner algorithm for discovering the peak high utility itemsets from a transaction database with timestamps and utility information .Those are itemsets that have a utility that is much higher than usual (a peak) during some non predefined time intervals (thanks to Yimin Zhang et al.).
- the VHUQI algorithm for discovering quantitative high utility itemsets in a transaction database with utility information (modified and integrated from code under the GPL license from UP-Miner)
- the Occur algorithm for finding all occurrences of some sequential pattern(s) in sequences (by post-processing). This algorithm must be applied on the sequential patterns found by another sequential pattern mining algorithms such as CM-SPAM and PrefixSpan.
Also, it includes a bug fix for the implementations of CPT and the GoKrimp algorithms.
Besides, I have uploaded a few new datasets to the dataset page.
Thanks again for using SPMF!
Philippe