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SPMF 2.42 is released (4 new algorithms)
Posted by:
webmasterphilfv
Date: March 07, 2020 08:13AM
Hi all,
This is just a quick message to let you know that a new version of SPMF is released today! It offers four new algorithms:
- the TKE algorithm for mining the top-k frequent episodes in a sequence of events (by Fournier-Viger et al.).
- the CEPB algorithm for mining low-cost high utility patterns (also known as cost-effective patterns) in a sequence database with cost and binary utility values (thanks to Jiaxuan Li)
- the CorCEPB algorithm for mining low-cost high utility patterns (also known as cost-effective patterns) in a sequence database with cost and binary utility values (thanks to Jiaxuan Li)
- the CEPN algorithm for mining low-cost high utility patterns (also known as cost-effective patterns) in a sequence database with cost and numeric utility values (thanks to Jiaxuan Li)
Besides, that I have added some new datasets to the datasets page.
Thanks again to all users of SPMF and also the people who have contributed code to the project. This helps to grow the software!
Best regards,
Philippe
Edited 1 time(s). Last edit at 03/07/2020 08:14AM by webmasterphilfv.
This is just a quick message to let you know that a new version of SPMF is released today! It offers four new algorithms:
- the TKE algorithm for mining the top-k frequent episodes in a sequence of events (by Fournier-Viger et al.).
- the CEPB algorithm for mining low-cost high utility patterns (also known as cost-effective patterns) in a sequence database with cost and binary utility values (thanks to Jiaxuan Li)
- the CorCEPB algorithm for mining low-cost high utility patterns (also known as cost-effective patterns) in a sequence database with cost and binary utility values (thanks to Jiaxuan Li)
- the CEPN algorithm for mining low-cost high utility patterns (also known as cost-effective patterns) in a sequence database with cost and numeric utility values (thanks to Jiaxuan Li)
Besides, that I have added some new datasets to the datasets page.
Thanks again to all users of SPMF and also the people who have contributed code to the project. This helps to grow the software!
Best regards,
Philippe
Edited 1 time(s). Last edit at 03/07/2020 08:14AM by webmasterphilfv.