Other resources

Tutorials

Blog posts written by the founder of SPMF

• Getting started with SPMF
• Interview with the SPMF founder: Philippe Fournier-viger
• Discovering hidden patterns in texts using SPMF
• Introduction to time series mining with SPMF
• Discovering and visualizing sequential patterns in web log data using SPMF and GraphViz
• Introduction to the Apriori algorithm (with Java code)
• Introduction to clustering: the K-Means algorithm (with Java code)
• An Introduction to Data Mining
• An Overview of Pattern Mining Techniques (by data types)
• An introduction to Frequent Pattern Mining
• An Introduction to Sequential Pattern Mining
• An Introduction to Sequential Rule Mining
• An introduction to Periodic Pattern Mining
• Key papers about Periodic Pattern Mining
• An Introduction to Sequence Prediction
• An Introduction to High Utility Itemset Mining
  
• Key papers about High Utility Itemset Mining
• An Introduction to High Utility Quantitative Itemset Mining
• An Introduction to High Utility Itemset Mining with a Taxonomy
• An Introduction to Frequent Subgraph Mining
• An Introduction to Episode Mining
• Key papers about Episode Mining
  
• How to call SPMF from R?
• How to call SPMF from Python?
• How to call SPMF from C#?
• How to call SPMF from a C++ Program (Windows)?

Research papers

Papers presenting the SPMF software:

• Fournier-Viger, P., Lin, C.W., Gomariz, A., Soltani, A., Deng, Z., Lam, H. T. (2016). The SPMF Open-Source Data Mining Library Version 2. Proc. 19th European Conference on Principles of Data Mining and Knowledge Discovery (PKDD 2016). Springer, pp. 36-40.
• Fournier-Viger, P., Gomariz, A., Gueniche, T., Soltani, A., Wu., C., Tseng, V. S. (2014). SPMF: a Java Open-Source Pattern Mining Library. Journal of Machine Learning Research (JMLR), 15: 3389-3393.

Survey papers:

• Fournier-Viger., P., Lin, J. C.-W., Truong, T., Nkambou, R. (2019). A survey of high utility itemset mining. In: Fournier-Viger et al. (eds). High-Utility Pattern Mining: Theory, Algorithms and Applications, Springer (to appear), p. 1-46.
• Fournier-Viger, P., Lin, J. C.-W., Vo, B, Chi, T.T., Zhang, J., Le, H. B. (2017). A Survey of Itemset Mining. WIREs Data Mining and Knowledge Discovery, e1207 doi: 10.1002/widm.1207, 18 pages.
• Fournier-Viger, P., Lin, J. C.-W., Kiran, R. U., Koh, Y. S., Thomas, R. (2017). A Survey of Sequential Pattern Mining. Data Science and Pattern Recognition (DSPR), vol. 1(1), pp. 54-77.

Papers describing each algorithm offered in SPMF: Algorithms

Papers citing SPMF: Citations

Textbook about Pattern Mining and SPMF

• "Pattern Mining :Theory and Practice" (PDF) (2020, in Thai language) by Teacher Panida Songram from Mahasarakham University. This textbook gives a good introduction to pattern mining and cover various topic as well as describes how to use the SPMF software. (download count: )
  

Related projects

Several wrappers have been proposed to use SPMF or some algorithms from SPMF in other software or languages such as Weka, R, Python and Spark.