SPMF: Sequential Pattern Mining Framework
SPMF is an open-source, sequential pattern mining framework in Java, with over 50 data mining algorithms for sequential pattern mining, association rule mining, frequent itemset mining, sequential rule mining, and clustering.
SPMF is an open-source data mining mining platform written in Java. This project was founded and led by Philippe Fournier-Viger, but it had many other contributors.
It is distributed under the GPL v3 license.
It offers implementations of 52 data mining algorithms for:
- sequential pattern mining,
- association rule mining,
- frequent itemset mining,
- sequential rule mining,
It can be used as a standalone program with a user interface or from the command line. Moreover, the source code of each algorithm can be integrated in other Java software.
The site includes extensive documentation, FAQ, performance, forum, and mailing list.
For more information and to download, visit
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