Tag Archives: itemset mining

New version of SPMF (2.58)

This is to announce that a new version of SPMF has been released on the 27th November 2022. This version has 7 new pattern mining algorithms: Besides, it has several new features such as: (1) An integrated text editor to … Continue reading

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How to draw an FP-Tree in Latex? (using TIKZ)

In this blog post, I will show how to draw a beautiful FP-Tree data structure in a Latex document. The FP-Tree is a tree-like structure that was proposed in the FP-Growth algorithm for itemset mining, and is also used in … Continue reading

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Finding short high utility itemsets!

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

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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Key Papers about High Utility Itemset Mining

In this blog post, I will talk about the most important algorithms for high utility itemset mining. I will present a list of algorithms that is of course subjective (according to my opinion). I did not list all the papers of … Continue reading

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Approximate Algorithms for High Utility Itemset Mining

On this blog, I have previously given an introduction to a popular data mining task called high utility itemset mining. Put simply, this task aims at finding all the sets of values (items) that have a high importance in a … Continue reading

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An Overview of Pattern Mining Techniques

In this blog post, I will give an overview of some of the main pattern mining tasks, to explain what kind of patterns can be found in different types of symbolic data. I will describe some main types of data … Continue reading

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Analyzing the COVID-19 genome with AI and data mining techniques (paper + data + code)

Recently, my team has been working on analyzing COVID-19 genome sequences using pattern mining and other data mining and AI techniques. We have recently published a paper in the Applied Intelligence journal about this. In this blog post, I will … Continue reading

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(video) Mining Locally Trending High Utility Itemsets

Today, I want to share with you the video presentation that I have prepared for my paper at PAKDD 2020. It presents a new problem where we want to discover locally trending high utility itemsets (LTHUIs). A LTHUI is a set of items purchased by … Continue reading

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

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: https://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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