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Tag Archives: data science
Serious issues with Time Series Anomaly Detection Research
In this short blog post, I will talk about some serious issues that have been raised about many studies on anomaly detection for time series. More precisely, it was recently shown that a lot of papers on anomaly detection for … Continue reading
Posted in Big data, Data Mining, Data science, Time series
Tagged anomaly, anomaly detection, artificial intelligence, data mining, data science, time series
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Brief report about IEEE ICDM 2021
This blog post provides a brief report about the IEEE ICDM2021 conference (International Conference on Data Mining), which was held virtually from New Zealand from the 7th December to the 10th December 2021. What is ICDM? ICDM is one of … Continue reading
Posted in Big data, Conference, Data Mining
Tagged big data, conference, data mining, data science, icdm, icdm 2021, ieee icdm, machine learning
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What is a good pattern mining algorithm?
Today, I will continue talking about pattern mining, and in particular about what is a good pattern mining algorithm. There are a lot of algorithms for discovering patterns in data that are not useful in real-life. To design a good pattern … Continue reading
Posted in Data Mining, Data science, Pattern Mining
Tagged data mining, data science, pattern mining
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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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CFP: The 1st Workshop on Pattern Mining and Machine Learning in Big Complex Database
This is to let you know about the upcoming 1st Workshop on Pattern mining and Machine learning in Big complex Databases (PMDB 2022) workshop that I co-organize at the DASFAA 2022 conference! PMDB 2022 aims at providing a place for researchers … Continue reading
Posted in Big data, cfp, Conference, Data Mining, Data science, Pattern Mining
Tagged big data, cfp, conference, dasfaa, data mining, data science, machine learning, pmdb, pmdb2022, workshop
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Towards SPMF v3.0…
Today, I will talk a little bit about the recent improvements and future direction for the SPMF data mining library. How SPMF started? SPMF is a software project that I started around 2008 when I was a Ph.D student in … Continue reading
Posted in Data Mining, Data science, open-source, spmf
Tagged data mining, data science, library, open source, software, spmf
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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
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Key Papers about Episode Mining
This post presents the key papers about episode mining. If you are not familiar with what is episode mining, it is a data mining task, which aims at finding patterns in a sequence of events or symbols . A short … Continue reading
Posted in Big data, Data Mining, Data science, Pattern Mining
Tagged big data, data mining, data science, episode, literature, Minepi, papers, pattern mining, patterns, references, winepi
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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
2 Comments
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