Tag Archives: itemset mining

What are Generator Itemsets?

Today, I will briefly explain what is a generator itemset. I will give some example and explain why generator itemsets are interesting and useful for some applications. I will also mention that efficient implementations can be found in the SPMF … Continue reading

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How to find cost-effective patterns in data?

Have you ever wondered how to find patterns in data that are not only frequent but also profitable and cost-effective? For example, if you are an online retailer, you may want to know what products are often bought together by … Continue reading

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What is a Closed Itemset and Why is it Useful?

In this blog post, I will explain in simple terms what is a closed itemset and give some examples. I will also mention a few algorithms that can be used to find closed itemsets and that they can be found … Continue reading

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How to call SPMF from Visual Basic .Net (VB)?

Today, I will explain how to use SPMF from Visual Basic .Net. Previously, I have explained how to call SPMF from C#, from R, from C++ (on Windows) and from Python. Requirements Let me first describe the requirements. It is … Continue reading

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How to call SPMF from Python (as an external program)?

In this blog post, I will explain how to call the SPMF data mining library from Python. Generally, there are two ways to call SPMF from Python. The first way is to use an unofficial Python wrapper for SPMF such as … Continue reading

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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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