This is a video presentation of the paper “PFPM: Discovering Periodic Frequent Patterns with Novel Periodicity Measures” about periodic pattern mining using PFPM. It is part of my new series of videos about data mining algorithms (link to download the … Continue reading

# Tag Archives: itemset mining

CALL FOR CHAPTERS High-Utility Pattern Mining: Theory, Algorithms and Applications Editors: Philippe Fournier-Viger, Chun-Wei Lin, Roger Nkambou, Bay Vo An edited book to be published by Springer in 2018 Introduction This book will provide an introduction to the high utility mining, reviews state-of-the-art … Continue reading

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 … Continue reading

In this blog post, I will give an introduction about a popular problem in data mining, which is called “high-utility itemset mining” or more generally utility mining. I will give an overview of this problem, explains why it is interesting, and provide source code of … Continue reading

In this blog post, I will explain and provide source code to automatically draw the powerset of a set using Java and GraphViz. Drawing a powerset is useful in mathematics and also in computer science, for example in frequent itemset mining, it can … Continue reading

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

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

Today, I will do a quick post on how to automatically adjust the minimum support threshold of frequent pattern mining algorithms such as Apriori, FPGrowth and PrefixSpan according to the size of the data. The problem is simple. Let’s consider … Continue reading