The SPMF Open-Source Data Mining Library Version 2
Abstract
SPMF is an open-source data mining library, specialized in pattern mining, offering implementations of more than 120 data mining algorithms. It has been used in more than 310 research papers to solve applied problems in a wide range of domains from authorship attribution to restaurant recommendation. Its implementations are also commonly used as benchmarks in research papers, and it has also been integrated in several data analysis software programs. After three years of development, this paper introduces the second major revision of the library, named SPMF 2, which provides (1) more than 60 new algorithm implementations (including novel algorithms for sequence prediction), (2) an improved user interface with pattern visualization (3) a novel plug-in system, (4) improved performance, and (5) support for text mining.
Cite
Text
Fournier-Viger et al. "The SPMF Open-Source Data Mining Library Version 2." European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases, 2016. doi:10.1007/978-3-319-46131-1_8Markdown
[Fournier-Viger et al. "The SPMF Open-Source Data Mining Library Version 2." European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases, 2016.](https://mlanthology.org/ecmlpkdd/2016/fournierviger2016ecmlpkdd-spmf/) doi:10.1007/978-3-319-46131-1_8BibTeX
@inproceedings{fournierviger2016ecmlpkdd-spmf,
title = {{The SPMF Open-Source Data Mining Library Version 2}},
author = {Fournier-Viger, Philippe and Lin, Jerry Chun-Wei and Gomariz, Antonio and Gueniche, Ted and Soltani, Azadeh and Deng, Zhi-Hong and Lam, Hoang Thanh},
booktitle = {European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases},
year = {2016},
pages = {36-40},
doi = {10.1007/978-3-319-46131-1_8},
url = {https://mlanthology.org/ecmlpkdd/2016/fournierviger2016ecmlpkdd-spmf/}
}