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Tag Archives: itemset mining
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
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
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
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
Posted in Pattern Mining, Utility Mining
Tagged bat algorithm, Bpso, genetic algorithm, hill climbing, HUIMGA, itemset mining, pso, simulated annealing, utility mining
1 Comment
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
Analyzing the COVID19 genome with AI and data mining techniques (paper + data + code)
Recently, my team has been working on analyzing COVID19 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
(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
(video) Identifying Stable Periodic Frequent Patterns using SPPGrowth
Today, I present a video about finding stable periodic patterns in data, and discuss a new algorithm named SPPGrowth for this task. VIDEO LINK: https://www.philippefournierviger.com/spmf/videos/SPPGrowth.mp4 The SPPGrowth algorithm and datasets for evaluating its performance are available in the SPMF software, which is opensource and programmed in Java. Source code and … Continue reading
25 years of pattern mining
This year, we are in 2019, and it is already 25 years since Agrawal wrote his seminal papers on frequent itemset mining and association rule mining in 1994. Since then, there has been thousands of papers published on this topic, some about algorithm design, new pattern mining … Continue reading
(video) Minimal High Utility Itemset Mining with MinFHM
This is a video presentation of the paper “Mining Minimal High Utility Itemsets” about high utility itemset mining using MinFHM. It is the first video of a series of videos that will explain various data mining algorithms. VIDEO LINK : https://www.philippefournierviger.com/spmf/videos/minfhm.mp4 More information … Continue reading