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Tag Archives: data mining
Brief report about ADMA 2021
This week, I have attended the 16th International Conference on Advanced Data Mining and Applications (ADMA 2021) conference, which is held online due to the COVID pandemic. What is ADMA ? ADMA is a medium-scale conference that focus on data science and its … Continue reading
Posted in Big data, Conference, Data Mining, Data science
Tagged adma, artificial intelligence, big data, data mining, data science, machine learning, pattern mining
2 Comments
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
5 Comments
Brief report about UDML 2021 (4th International Workshop on Utility-Driven Mining and Learning
Today, it was the 4th International Workshop on Utility-Driven Mining and Learning (UDML 2021), held at the IEEE ICDM 2021 conference. I am a co-organizer of the workshop and will give a brief report about it. What is UDML? UDML … Continue reading
Posted in Conference, Data Mining, Pattern Mining, Utility Mining
Tagged data mining, pattern mining, udml, utility mining, workshop
1 Comment
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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Brief report about EITCE 2021
Today, I attended the EITCE 2021 conference, which was held in Xiamen, China from the 22nd to 24th October 2021. The conference was held virtually and I participated as an invited keynote speaker. In this blog post, I will talk … Continue reading
Posted in artificial intelligence, Big data, Conference, Data Mining
Tagged ai, conference, data mining, eitce, eitce2021, ml
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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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Finding short high utility itemsets!
Today, I will talk about pattern mining. I will explain a topic that is in my opinion very important but has been largely overlooked by the research community working on high utility itemset mining. It is to integrate length constraints … Continue reading