SPMF: a Java open-source pattern mining library

By Philippe Fournier-Viger, Antonio Gomariz, Ted Gueniche, Azadeh Soltani, Cheng-Wei Wu, Vincent Shin-Mu Tseng. Journal of machine learning research, 2014

510 citations recorded by the source corpus.

View Paper: https://www.semanticscholar.org/paper/01e83db4f3435f90ea1eb10b5ea8657da3b08f2f

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

1. Yixiang Fang
2. Jerry Chun-Wei Lin
3. Reynold Cheng
4. R. U. Kiran
5. Yun Sing Koh
6. Siqiang Luo
7. Rincy Thomas
8. Jiafeng Hu

Citations in the corpus

• Effective Community Search for Large Attributed Graphs (2016, methodology): “In this paper, we use the well-known FPGrowth algorithm [11, 9].”
• dbscan: Fast Density-Based Clustering with R (2019, unknown): “We performed the comparison with ELKI version 0.7, PyClustering 0.6.6, fpc 2.1-10, dbscan 0.9-8, SPMF v2.”
• A Survey of Sequential Pattern Mining (2017, background): “For example, some bit vector compression techniques have been used in various pattern mining algorithm implementations to ignore some bits set to zero [35].”