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Search Results for: introduction to sequential pattern
A Glossary of Pattern Mining
Pattern mining is a popular research area in data mining, which aims at discovering interesting and useful patterns in data. It is a field of research that has been active for over 25 years and there is a lot of … Continue reading
Posted in Data Mining, Data science, Pattern Mining
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(videos) Introduction to sequential rule mining + the CMRules algorithm
I have made two new videos to explain interesting topics about pattern mining. The first video is an introduction to sequential rule mining, while the second video explains in more details how the CMRules algorithm for sequential rule mining works! … Continue reading
Posted in Data Mining, Pattern Mining, Video
Tagged cmrules, data mining, pattern mining, sequential rule mining, video
2 Comments
How to Analyze the Complexity of Pattern Mining Algorithms？
Today, I will explain how to analyze the complexity of pattern mining algorithms for topics such as itemset mining, sequential pattern mining, subgraph mining, sequential rule mining and periodic pattern mining. This is something that is often asked by reviewers … Continue reading
New videos about pattern mining
Today, I share with you some new videos that I have recorded about pattern mining. The first videos gives an introduction to some important topics: sequential pattern mining, frequent subgraph mining and high utility itemset mining, while the lastvideo explains … Continue reading
Posted in Data Mining, Pattern Mining, Video
Tagged data mining, data science, Eclat, frequent subgraph, graph, introduction, itemset, pattern mining, sequential pattern, video
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An Introduction to Episode Mining
In this blog post, I will talk about pattern mining (finding patterns in data) data mining task called episode mining. It aim at discovering interesting patterns in a long sequence of symbols or events. Sequence data is an important type … Continue reading
Posted in Big data, Data Mining, Data science, Pattern Mining
Tagged big data, data mining, data science, Emma, episode, episode mining, HUE-span, Minepi, pattern mining, sequential pattern, tke, utility mining
7 Comments
Key Papers about Periodic Pattern Mining
In this blog post, I will list the key algorithms for periodic itemset mining (according to me) with comments about their contributions. Of course, this list is subjective. I did not list all the papers of all authors but I … Continue reading
Posted in Uncategorized
Tagged periodic itemset, periodic pattern, periodic pattern mining, periodicity, pfpm
4 Comments
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
An introduction to frequent subgraph mining
In this blog post, I will give an introduction to an interesting data mining task called frequent subgraph mining, which consists of discovering interesting patterns in graphs (a pattern mining task). This task is important since data is naturally represented as graph in many domains (e.g. … Continue reading
Posted in Big data, Data Mining, Pattern Mining
Tagged data mining, graph, gspan, pattern mining, subgraph, subgraph mining, tkg
12 Comments
Sequential pattern mining vs Sequence prediction ?
In this blog post, I will answer a question that I have received in my e-mail about what is the difference between sequential pattern mining and sequence prediction. I think that this is a good question and sharing the answer … Continue reading
Posted in Big data, Data Mining
Tagged data science, pattern mining, sequence, sequence prediction, sequential pattern
2 Comments
An Introduction to Data Mining
In this blog post, I will introduce the topic of data mining. The goal is to give a general overview of what is data mining. What is data mining? Data mining is a field of research that has emerged in the 1990s, … Continue reading
Posted in Big data, Data Mining, Data science
Tagged artificial intelligence, big data, data mining, data science, machine learning
23 Comments