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Category Archives: Data Mining
25 years of pattern mining
This year, we are in 2019, and it is already 25 years since Agrawal wrote his seminal papers on frequent itemset mining and association rule mining in 1994. Since then, there has been thousands of papers published on this topic, some about algorithm design, new pattern mining … Continue reading
Brief report about DAWAK 2019 / DEXA 2019
This week, I am attending the DAWAK 2019 and DEXA 2019 conferences in Linz, Austria from the 26th to the 29th August 2019. In this blog post, I will provide a report about these conferences. About the DAWAK and DEXA conferences DAWAK ( Intern. Conf. on Data Warehousing … Continue reading
Posted in Big data, Conference, Data Mining, Data science
Tagged conference, data mining, data warehouse, dawak, europe
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Funny pictures about data mining / machine learning
Today, I will share a few funny pictures related to data mining and machine learning that I have found online. These pictures comes from various sources (I don’t remember who created them). I will also perhaps add more later on that page Associations between … Continue reading
Correlation does not imply causation
There is a well known principle in statistics that correlation does not imply causation. It means that even if we observe that two variables behave in the same way, we should not conclude that the behavior of one of those variables … Continue reading
Posted in Big data, Data Mining, Data science
Tagged causation, correlation, data, data analysis, data mining, data science
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The review speed of academic journals
Today, I will talk about the review speed of academic journals. Review speed is an important criterion for selecting a journal to submit a paper when researchers face time constraints. For example, it is common that some students need to publish a paper quickly … Continue reading
Posted in Academia, artificial intelligence, Data Mining, Research
Tagged academic journal, journal, peer-review, review
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MLDM 2019… still not in New York! …and not published by Springer!
A few years ago, I decided to give a try at the MLDM 2016 conference, which I had never attended. It was not a bad conference, although quite small and the registration is quite expensive for a conference (about 650 euros). I submitted … Continue reading
(video) Mining Frequent Itemsets with the Apriori algorithm
This is a video presentation of the Apriori algorithm for discovering frequent itemsets in data. Frequent itemset mining is one of the most popular data mining task. VIDEO LINK: https://www.philippe-fournier-viger.com/spmf/videos/apriori.mp4 The Java source code of the Apriori algorithm and datasets for evaluating its performance are available in the SPMF software. If you want … Continue reading
Posted in Data Mining, Data science, Pattern Mining, Video
Tagged algorithm, apriori, big data, data mining, data science, frequent pattern mining, frequent patterns, video
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The PAKDD 2019 conference (a brief report)
This year, I am attending the PAKDD 2019 conference (23rd Pacific Asia Conference on Knowledge Discovery and Data Mining), in Macau, China, from the 14th to the 17th April 2019. In this blog post, I will provide information about the conference. About the PAKDD conference PAKDD is one of the most important … Continue reading
Posted in Big data, Conference, Data Mining, Data science
Tagged asia, big data, conference, data mining, pakdd
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Interview with Prof. Rage Uday Kiran about Data Mining
Today, I have the pleasure to interview Rage Uday Kiran researcher at the National Institute of Informatics in Tokyo, Japan. R. Uday Kiran is an Indian researcher who has been working in Japan for several years. He has been active mainly in the field of data mining, and … Continue reading
Posted in Data Mining, Data science, Interview, Pattern Mining
Tagged data mining, data science, pattern mining, periodic pattern
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The best data mining mailing lists (for researchers)
Today, I will list a few useful mailing lists related to data mining and big data. Subscribing to these mailing list is useful for PhD students and researchers, as many jobs, conferences, special issues and other opportunities are advertised on these mailing lists. It is … Continue reading
Posted in Big data, Data Mining, Data science
Tagged big data, data, data mining, data science, machine learning, mailing list, Research
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