Category Archives: Pattern Mining

(video) Mining 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. VIDEO LINK: https://www.philippe-fournier-viger.com/spmf/videos/rulegrowth.mp4 More information about the RuleGrowth algorithm are provided in this research paper: Fournier-Viger, P., Wu, C.-W., Tseng, V.S., Cao, L., Nkambou, R. (2015). Mining Partially-Ordered Sequential Rules Common to Multiple … Continue reading

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Introduction to frequent subranking mining

Rankings are made in many fields, as we naturally tend to rank objects, persons or things, in different contexts. For example, in a singing or a sport competition, some judges will rank participants from worst to best and give prizes to … Continue reading

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(video) Minimal High Utility Itemset Mining with MinFHM

This is a video presentation of the paper “Mining Minimal High Utility Itemsets” about high utility itemset mining using MinFHM. It is the first video of a series of videos that will explain various data mining algorithms. VIDEO LINK : https://www.philippe-fournier-viger.com/spmf/videos/minfhm.mp4 More information … Continue reading

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The future of pattern mining

In this blog post, I will talk about the future of research on pattern mining. I will also discuss some lessons learnt from the decades of research in this field and talk about research opportunities. What is the state of research on pattern mining? Over the last … Continue reading

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How to run SPMF without installing Java?

The SPMF data mining software is a popular open-source software for discovering patterns in data and for performing other data mining tasks. Typically, to run SPMF, Java must have been installed on a computer. However, it is possible to run SPMF on a computer that does not have Java installed. For example, … Continue reading

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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 in particular some patterns are … Continue reading

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On the correctness of the FSMS algorithm for frequent subgraph mining

In this blog post, I will explain why the FSMS algorithm for frequent subgraph mining is an incorrect algorithm.  I will publish this blog post because I have found that the algorithm is incorrect after spending a few days to implement the algorithm in 2017 and wish to save time to other researchers … Continue reading

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Introduction to the Apriori algorithm (with Java code)

This blog post provides an introduction to the Apriori algorithm, a classic data mining algorithm for the problem of frequent itemset mining. Although Apriori was introduced in 1993, more than 20 years ago, Apriori remains one of the most important data mining algorithms, not because it is the fastest, but because it has … Continue reading

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An Introduction to Sequential Pattern Mining

In this blog post, I will give an introduction to sequential pattern mining, an important data mining task with a wide range of applications from text analysis to market basket analysis.  This blog post is aimed to be a short introduction. If you want to read a more … Continue reading

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Analyzing the source code of the SPMF data mining software

Hi everyone, In this blog post, I will discuss how I have applied an open-source tool that is named Code Analyzer ( http://sourceforge.net/projects/codeanalyze-gpl/ )  to analyze the source code of my open-source data mining software named SPMF. I have applied … Continue reading

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