30 May, 2014
Big Data Landscape CategoryData Mining
CEOPhilippe Fournier-Viger (holds the copyright for SPMF)
SPMF is a library of algorithms for mining data. The library is open source, and is developed by-and-large through the work of volunteers. It is distributed through the GPL v3 license.
SPMF algorithms can be used for a variety of data mining tasks, including: sequential pattern mining (maximal sequential, top-k sequential, multi-dimensional sequential, etc.), sequential rule mining, frequent itemset Mining (rare itemsets, high-utility itemsets, etc.) and clustering, among other tasks.
Founder: Philippe Fournier-Viger
The SPMF copyright is held by Philippe Fournier-Viger at the University of Moncton, in Moncton, New Brunswick, Canada.