Philippe Fournier-Viger, Ph.D. is a data mining researcher and professor. He use this blog as a personal website to discuss his thoughts, opinions and ideas about data mining and research in general.
He is the founder and main author of the SPMF data mining software, an open-source software offering more than 180 algorithms for discovering itemsets, association rules, sequential patterns and rules in sequences and transactions. The SPMF software has been cited in more than 850 papers and was visited by more than 900,000 visitors since 2010. He has also written or participated in more than 280 research papers which have received more than 6100 citations. He is one of the two editor-in-chief of the Data Science and Pattern Recognition journal, and associate editor-in-chief of the Applied Intelligence journal (Springer). He edited or co-edited several books such as “High-Utility Pattern Mining” (Springer), and often invited as keynote speaker for international conferences such as MIWAI 2019, ICGEC 2018, CCNS 2020 and IFID 2020.
Google Scholar profile: https://scholar.google.com/citations?user=QG_7KjoAAAAJ&hl=en&oi=sra
DBLP profile: http://dblp.uni-trier.de/pers/hd/f/Fournier=Viger:Philippe