(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

On the Completeness of the CloSpan and IncSpan algorithms

In this blog post, I will briefly discuss the fact that the popular CloSpan algorithm for frequent sequential pattern mining is an incomplete algorithm.  This means that in some special situations, CloSpan does not produce the expected results that it has been designed for, and … Continue reading

Call for chapters: High Utility Pattern Mining, the book

CALL FOR CHAPTERS High-Utility Pattern Mining: Theory, Algorithms and Applications Editors: Philippe Fournier-Viger, Chun-Wei Lin, Roger Nkambou, Bay Vo An edited book to be published by Springer in 2018 Introduction This book will provide an introduction to the high utility mining, reviews state-of-the-art … Continue reading

Discovering and visualizing sequential patterns in web log data using SPMF and GraphViz

Today, I will show how to use the open-source SPMF data mining software to discover sequential patterns in web log data. Then, I will show to how visualize the frequent sequential patterns found, using GraphViz. Step 1 :  getting the … Continue reading

An introduction to frequent pattern mining

In this blog post, I will give a brief overview of an important subfield of data mining that is  called pattern mining.  Pattern mining consists of using/developing data mining algorithms to discover interesting,  unexpected and useful patterns in databases. Pattern … Continue reading