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Recent Posts
- Merry X-Mas and Happy New year to SPMF users!
- The 1st HP4MoDa workshop was held at BIBM 2025
- Another release of SPMF: v2.64b
- A prototype of an improved GUI for the SPMF pattern mining software
- Upcoming in SPMF 2.64b : The “Pattern Diff Analyzer”
- A keynote speaker unable to manage time (180 slides!)
- A new version of SPMF (v2.64, november 2025)!
- GMP: A new algorithm for compressing protein sequences
- A new tool for visualizing algorithms from SPMF
- Fixing the reviewresponse.cls LaTeX Class to Allow Multi-Page Comments
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Tag Archives: itemset
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: 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
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
12 Comments
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
28 Comments