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- Sneak peak at the new user interface of SPMF (part 2)
- Sneak peak at the new user interface of SPMF (part 1)
- UDML 2024 Accepted papers
- SPMF 2.60 is coming soon!
- The importance of using standard terminology in research papers
- UDML 2024 @ PAKDD 2024 (deadline extended)
- Your social network on DBLP as a graph
- Call for papers: UDML 2024 workshop @ PAKDD 2024
- A new survey paper on episode mining!
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Category Archives: Data science
Sneak peak at the new user interface of SPMF (part 1)
I am currently working on the next version of SPMF, which will be called 2.60. There will be several improvements to the user interface of SPMF. Here is an overview of some of the improvements to give you a sneak … Continue reading
Posted in Big data, Data Mining, Data science, spmf
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UDML 2024 Accepted papers
Today, I want to talk to you about the upcoming UDML 2024 workshop at the PAKDD 2024 conference. This year is the 6th edition of the UDML workshop. I am happy to say that this year, we received a record … Continue reading
Posted in Conference, Data Mining, Data science, Pattern Mining, Utility Mining
Tagged data mining, itemset mining, pakdd, pattern mining, udml, workshop
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A new survey paper on episode mining!
I am pleased to announce today that my collaborators and I have published a new survey paper about episode mining to give an introduction to this nice and interesting subfield of pattern mining. To our knowledge this is the most … Continue reading
Posted in Data Mining, Data science, Pattern Mining
Tagged data mining, data science, episode, episode mining, event sequence, pattern mining, sequence, survey
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K-Means Interactive Demo in your browser
In this blog post, I introduce a new interactive tool for showing a demonstration of the K-Means algorithm for students (for teaching purposes). The K-Means clustering demo tool can be accessed here: philippe-fournier-viger.com/tools/kmeans_demo.php The K-Means demo, first let you enter … Continue reading
Posted in Data Mining, Data science
Tagged browser, clustering, interactive demo, javascript k-means, k-means, k-means tool
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SPMF: upcoming feature: The Memory Viewer
Today, I would like to introduce an upcoming feature that will be released in the next version of SPMF (v. 2.60). It is a tool called the Memory Viewer. This tool is very simple yet useful for investigating the performance … Continue reading
Posted in Data Mining, Data science, open-source, Pattern Mining, spmf
Tagged data mining, data science, java, memory, open source, pattern, pattern mining, spmf
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An Online Demo of the Eclat Algorithm
I have created a new interactive webpage to demonstrate how the Eclat algorithm is applied for frequent itemset mining. This webpage allows to enter a transaction database, select the minimum support and to see step by step what the Eclat … Continue reading
Posted in Big data, Data Mining, Data science, Pattern Mining, Research
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An Online Tool to Draw FP-Trees
This blog post is to introduce a new tool made of HTML5 and JavaScript for drawing FP-trees, which you can access here: https://www.philippe-fournier-viger.com/tools/draw_fptree.php If you are not familiar with FP-trees, the FP-tree is a data structure used in the field of … Continue reading
Posted in Data Mining, Data science, Pattern Mining
Tagged association rule, draw, fp-tree, fpgrowth, fptree, frequent itemset, itemset, online tool, pattern mining
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How to count the frequency of words and ngrams in a text document? – Two online tools
I have added two new webpages offering tools to count the frequency of each word and ngrams (consecutive sequences of words) in a text document. These webpages can be found here: The Word Frequency Counter First, let me show you … Continue reading
A Glossary of High Utility Pattern Mining
Today, I present a glossary of key terms usedin high utility itemset mining. This glossary will be useful to researchers and practitioners working on this important subtopic of pattern mining. By the way, if you are new to this research … Continue reading
How to find cost-effective patterns in data?
Have you ever wondered how to find patterns in data that are not only frequent but also profitable and cost-effective? For example, if you are an online retailer, you may want to know what products are often bought together by … Continue reading