SPMF: a Java open-source pattern mining library. We present SPMF, an open-source data mining library offering implementations of more than 55 data mining algorithms. SPMF is a cross-platform library implemented in Java, specialized for discovering patterns in transaction and sequence databases such as frequent itemsets, association rules and sequential patterns. The source code can be integrated in other Java programs. Moreover, SPMF offers a command line interface and a simple graphical interface for quick testing. The source code is available under the GNU General Public License, version 3. The website of the project offers several resources such as documentation with examples of how to run each algorithm, a developer’s guide, performance comparisons of algorithms, data sets, an active forum, a FAQ and a mailing list.
Keywords for this software
References in zbMATH (referenced in 5 articles )
Showing results 1 to 5 of 5.
- Guns, Tias; Dries, Anton; Nijssen, Siegfried; Tack, Guido; De Raedt, Luc: MiningZinc: A declarative framework for constraint-based mining (2017)
- Cao, Longbing; Dong, Xiangjun; Zheng, Zhigang: e-NSP: efficient negative sequential pattern mining (2016)
- Fournier-Viger, Philippe; Gomariz, Antonio; Gueniche, Ted; Soltani, Azadeh; Wu, Cheng-Wei; Tseng, Vincent S.: SPMF: a Java open-source pattern mining library (2014)
- Kardkovács, Zsolt T.; Kovács, Gábor: Finding sequential patterns with TF-IDF metrics in health-care databases (2014)
- Murlidharan, Vijayalakshmi; Menezes, Bernard: Frequent pattern mining-based sales forecasting (2013)
Further publications can be found at: http://www.philippe-fournier-viger.com/spmf/index.php?link=citations.php