Tag Archives: big data

The 10 most cited papers in our “Data Science and Pattern Recognition” journal!

As some of you know, I am editor-in-chief of the Data Science and Pattern Recognition (DSPR) journal. This journal has started in 2017 and four volumes have been published already with 28 papers, which I consider as a success. One … Continue reading

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The importance of explainable data science and machine learning models

In this blog post, I will talk about an important concept, which is often overlooked in data mining and machine learning: explainability. To discuss this topic, it is necessary to first remember what is the goal of data mining and machine learning. The goal of data mining is … Continue reading

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A Brief Report about the IEEE ICDM 2020 Conference

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

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Five recent books on pattern mining

In this blog post, I will list a few interesting and recent books on the topic of pattern mining (discovering interesting patterns in data). This mainly lists books from the last 5 years. High utility pattern mining: Theory, Applications and algorithms (2019). This … Continue reading

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Brief report about the ADMA 2019 conference

This week, I am also attending the 14th International Conference on Advanced Data Mining and Applications (ADMA 2019) conference in Dalian, China, from the 21st to 23rd November at Dalian Neusoft University of Information. About ADMA The ADMA conference is focused on data mining and its applications, and is … Continue reading

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China International BigData Industry Expo 2019 (a brief report)

This week I am attending the 2019 China International Big Data Industry Expo (CIBD 2019), held in Guiyang, China. I will report on the event on this blog. The event is from May 26-29. Why this event is important? The China International Big Data Industry Expo is … Continue reading

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(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: http://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

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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

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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

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(video) Minimal Correlated High Utility Itemsets with FCHM

This is a video presentation of the paper “Mining Correlated High-Utility Itemsets Using the bond Measure” about correlated high utility pattern mining using FCHM.  VIDEO LINK: http://www.philippe-fournier-viger.com/spmf/videos/FCHM_correlated_itemsets.mp4 More information about the FCHM algorithm are provided in this research paper: Fournier-Viger, P., Zhang, Y., Lin, J. C.-W., … Continue reading

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