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Recent Posts
- Two post-doctoral researcher positions in my team (topic: data mining / machine learning)
- Brief report about the ECML PKDD 2021 conference
- An Introduction to High Utility Quantitative Itemset Mining
- High Utility Itemset Mining with a Taxonomy
- Common Mistakes to Avoid when Submitting a Research Paper
- An Introduction to Episode Mining
- Key Papers about Episode Mining
- What is Machine Learning?
- Why Journal Special Issues are Popular?
- Useful Latex tricks for Writing Research Papers
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- An Introduction to Episode Mining | The Data Mining Blog on An Introduction to Sequential Pattern Mining
- An Introduction to Episode Mining | The Data Mining Blog on An Introduction to Sequential Rule Mining
- Philippe Fournier-Viger on Discovering hidden patterns in texts using SPMF
- Maria Catherine Vargas Aguilar on Discovering hidden patterns in texts using SPMF
- Philippe Fournier-Viger on Six important skills to become a succesful researcher
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Tag Archives: itemset
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
High Utility Itemset Mining with a Taxonomy
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
(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: 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
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
Posted in Big data, Data Mining, Pattern Mining, Programming
Tagged apriori, code, frequent itemset, frequent pattern, itemset, java, pattern mining
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An introduction to frequent pattern mining
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
Posted in Data Mining, Research
Tagged association rule, itemset, itemset mining, pattern mining, sequential patterns
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