This is just a short blog post to let you know that a new version of the SPMF library has been released, called version **2.52**.

This new version contains two new algorithms for high utility itemset mining and one for high utility quantitative itemset mining.

- The
**TKU-CE**algorithm for**heuristically mining the top-k high-utility itemsets**with cross-entropy (thanks to Wei Song, Lu Liu, Chuanlong Zheng et al., for the original code) - The
**TKU-CE+**algorithm for**heuristically mining the top-k high-utility itemsets**with cross-entropy with optimizations (thanks to Wei Song, Lu Liu, Chuanlong Zheng et al., for the original code) - The
**TKQ**algorithm for**mining the top-k quantitative high utility itemsets**(thanks to Nouioua, M. et al., for the original code)

Besides, since December, four more algorithms have been released (in SPMF 2.50 and 2.51):

- The
**SFU-CE**algorithm for mining**skyline frequent high utility itemsets**using the cross-entropy method (thanks to**Wei Song, Chuanlong Zheng et al.,**for the original code) - The
**POERMH**algorithm for mining**partially ordered episode rules**in a sequence of events, using the head support (thanks to**Yangming Chen**et al. for the original code) - The
**SFUI_UF**algorithm for mining**skyline utility itemsets**using utility filtering (thanks to**Wei Song, Chuanlong Zheng et al.,**for the original code) - The
**HAUIM-GMU**algorithm for mining**high average utility itemsets**(thanks to**Wei Song, Lu Liu, et al.**for the original code)

**Need your contributions!**

For the **SPMF project**, we are always looking for new contributors. If you are interested to participate (e.g. contributing code of new algorithms, bug fixes, etc.), you can contact with me at philfv AT qq.com.

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**Philippe Fournier-Viger** is a distinguished professor working in China and founder of the **SPMF** open source data mining software.