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Tag Archives: high utility 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
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
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
The Upcoming 3rd Utility Mining and Learning Workshop (UDML 2020!) at IEEE ICDM 2020
Today, I just want to talk a little bit about the upcoming 3rd UDML 2020 workshop on utility mining and learning that I am co-organizing at the IEEE ICDM 2020 conference. This workshop was previously held at KDD 2018 and … 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) Discovering interpretable high utility patterns in databases
Today, I will share a short keynote talk (28 min) about discovering interpretable high utility patterns in data that I have presented at the CCNS 2020 conference. This talk gives an overview of techniques for finding interesting and useful patterns that can … Continue reading
Upcoming book: High Utility Itemset Mining: Theory, Algorithms and Applications
I am happy to announce that the draft of the book about high utility pattern mining has been finalized and submitted to the publisher (Springer). It should thus be published in the very near future. The book contains 12 chapters written by several top researchers from … Continue reading
Big Problems only found in Big Data?
Today, I will discuss the topic of Big Data, which is a very popular topic nowadays. The popularity of big data can be seen for example in universities. Many universities are currently searching for professors who do research on “big data”. Moreover, … Continue reading