(video) Mining Frequent Itemsets with the Apriori algorithm

This is a video presentation of the Apriori algorithm for discovering frequent itemsets in data.  The Java source code of the Apriori algorithm and datasets for evaluating its performance are available in the SPMF software. If you want to … Continue reading

The 7th China International Technology Expo – CITE 2019 (a brief report)

This week, I have attended the 7th China International Technology Expo (CITE 2019), which was held at the Shenzhen Convention and Exhibition Center in the city of Shenzhen, China from the 9th to the 11th April 2019. In this blog … Continue reading

The importance of explainable data science and machine learning models

In this blog post, I will talk about an important concept, which is often overlooked in data mining and machine learning: explainability. To discuss this topic, it is necessary to first remember what is the goal of data mining and … 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., Lin, C. W., Dinh, T., Le, … Continue reading