Tag Archives: itemset

Finding short high utility itemsets!

Posted on 2021-09-24 by Philippe Fournier-Viger

Today, I will talk about pattern mining. I will explain a topic that is in my opinion very important but has been largely overlooked by the research community working on high utility itemset mining. It is to integrate length constraints … Continue reading →

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An Introduction to High Utility Quantitative Itemset Mining

Posted on 2021-09-10 by Philippe Fournier-Viger

Today, I will talk about pattern mining, a subfield of data science that aims at finding interesting patterns in data. More precisely, I will briefly describe a popular data mining task named high utility itemset mining. Then, I will describe … Continue reading →

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High Utility Itemset Mining with a Taxonomy

Posted on 2021-09-03 by Philippe Fournier-Viger

Today, I will talk about discovering interesting patterns in data, what is called pattern mining, and in particular about how the concept of taxonomy can be useful to find interesting patterns. There has been a lot of research on pattern … Continue reading →

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

Posted on 2020-03-01 by Philippe Fournier-Viger

Today, I present a video about finding stable periodic patterns in data, and discuss a new algorithm named SPP-Growth for this task. VIDEO LINK: http://www.philippe-fournier-viger.com/spmf/videos/SPPGrowth.mp4 The  SPP-Growth algorithm and datasets for evaluating its performance are available in the SPMF software, which is open-source and programmed in Java. Source code and … Continue reading →

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Introduction to the Apriori algorithm (with Java code)

Posted on 2017-08-01 by Philippe Fournier-Viger

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 frequent pattern mining

Posted on 2013-10-13 by Philippe Fournier-Viger

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 →

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