Today, I want to announce that I have just made public datasets of 30 novels from English Novels from 10 authors of the XIX century. These datasets can be used for testing algorithms for sequential pattern mining, sequential rule mining, … Continue reading
In this blog post, I will share another talk that I have recorded recently. This time, I will explain a new paper from my team about discovering cost-effective patterns using some algorithms called CEPB and CEPN. Mining cost-effective patterns is … Continue reading
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
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: 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
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
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