(video) Identifying Stable Periodic Frequent Patterns using SPP-Growth

Today, I present a video about finding stable periodic patterns in data, and discuss a new algorithm named SPP-Growth for this task.  The  SPP-Growth algorithm and datasets for evaluating its performance are available in the SPMF software, which is open-source and programmed in … Continue reading

(video) Mining Frequent Itemsets with the Apriori algorithm

This is a video presentation of the Apriori algorithm for discovering frequent itemsets in data. Frequent itemset mining is one of the most popular data mining task.  The Java source code of the Apriori algorithm and datasets for evaluating … Continue reading

(video) Minimal Sequential Rules with RuleGrowth

This is a video presentation of the paper “Mining Partially-Ordered Sequential Rules Common to Multiple Sequences” about discovering sequential rules in sequences using the RuleGrowth algorithm.  More information about the RuleGrowth algorithm are provided in this research paper: Fournier-Viger, P., Wu, C.-W., Tseng, … Continue reading

(video) Minimal Correlated High Utility Itemsets with FCHM

This is a video presentation of the paper “Mining Correlated High-Utility Itemsets Using the bond Measure” about correlated high utility pattern mining using FCHM.   More information about the FCHM algorithm are provided in this research paper: Fournier-Viger, P., Zhang, Y., Lin, J. C.-W., Dinh, … Continue reading

(video) Minimal Periodic Frequent Itemset with PFPM

This is a video presentation of the paper “PFPM: Discovering Periodic Frequent Patterns with Novel Periodicity Measures” about periodic pattern mining using PFPM. It is part of my new series of videos about data mining algorithms  (link to download the … Continue reading