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Recent Posts
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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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Tag Archives: data
UDML 2024 @ PAKDD 2024 (deadline extended)
This is a short blog post to let you know that the deadline for submitting your papers to the UDML 2024 workshop at the PAKDD 2024 conference has been extended to the 7th February. Website: https://www.philippe-fournier-viger.com/utility_mining_workshop_2024/ Note that this year, … Continue reading
Posted in cfp
Tagged big data, cfp, data, data mining, machine learning, pakdd, udml
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An Interactive Demo of The Apriori algorithm
I have created a new website for students that provides an interactive demo of the Apriori algorithm. It allows to run Apriori in your browser and see the results step by step. The website is here: Apriori Algorithm Demo To … Continue reading
Visualizing the item frequency distribution of pattern mining datasets
In this blog post, I will explain a quick and easy way of visualizing the frequency distribution of items in a dataset in SPMF format for pattern mining. To do this, we will use a new online tool that I … Continue reading
Posted in Pattern Mining, spmf
Tagged association rule, association rule mining, data, dataset, density, frequency, frequency distribution, itemset, pattern mining, spmf format, support
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Introduction to Rare Itemset Mining
In the last decades, many data mining algorithms were developed to find interesting patterns in data (pattern mining). In particular, a lot of studies have been done about discovering frequent patterns (patterns that appear frequently) in a data. A classic … Continue reading
Posted in Pattern Mining
Tagged aprioriinverse, apriorirare, data, data mining, itemset, itemset mining, pattern, pattern mining, rare itemset, rare pattern, rare pattern mining
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Brief report about the DASFAA 2022 conference
This week, I am attending the DASFAA 2022 conference, which is held online from the 11th to the 14th April 2022. In this blog post, I will talk about this event, and will update the blog through the conference. DASFAA … Continue reading
Posted in Conference, Data Mining
Tagged big data, conference, dasfaa, dasfaa 2022, data, data mining, database, database systems
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Some common problems of pattern mining papers
Today, I will talk about pattern mining, a subfield of data mining, that aims at discovering interesting patterns in data. In particular, I will talk about why several papers from that field do not have much impact. This is generally … Continue reading
Posted in Data Mining, Pattern Mining, Research
Tagged data, data mining, data science, pattern mining
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Brief report about the DSIT 2021 conference (4th Intern. Conf. on Data Science and Information Technology)
This week, I am attending the DSIT 2021 conference (4th International Conference on Data Science and Information Technology) from July 23 to 25 in Shanghai, China. The DSIT 2021 conference is co-located with the DMBD 2021 conference (the 4th International … Continue reading
Posted in artificial intelligence, Big data, Conference, Data Mining
Tagged artificial intelligence, china, data, data mining, data science, dmbd, dsit, machine learning
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MLiSE 2021 @ PKDD 2021 – a new workshop!
I am glad to announce that I am co-organizing a new workshop called MLiSE 2021 (1st international workshop on Machine Learning in Software Engineering), held in conjunction with the ECML PKDD 2021 conference. Briefly, the aim of this workshop is … Continue reading
Posted in artificial intelligence, Big data, cfp, Conference, Machine Learning
Tagged artificial intelligence, cfp, data, data mining, machine learning, mlise, pkdd, pkdd 2021, software engineering, workshop
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Analyzing the COVID-19 genome with AI and data mining techniques (paper + data + code)
Recently, my team has been working on analyzing COVID-19 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
Brief Report about IEEE ICDM 2020
In this blog post, I will talk about the IEEE ICDM 2020 conference that I have attended virtually. The conference was supposed to be held in Italy but due to the coronavirus pandemic, it was held online. About the ICDM … Continue reading
Posted in Big data, Conference, Data Mining, Machine Learning
Tagged big data, conference, data, data mining, icdm, icdm 2020, ieee icdm, machine learning, udml, workshop
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