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Category Archives: Data Mining
(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: https://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
Posted in Big data, Data Mining, Data science, Video
Tagged big data, data, data science, high utility itemset, high utility mining, pattern mining
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Report about the ICGEC 2018 conference
I have recently attended the ICGEC 2018 conference (12th International Conference on Genetic and Evolutionary Computing) from December 14-17, 2018 in Changzhou, China. In this blog post, I will describe activities that I have attended at the conference. About the ICGEC conference IGCEC is … Continue reading
Introduction to frequent subranking mining
Rankings are made in many fields, as we naturally tend to rank objects, persons or things, in different contexts. For example, in a singing or a sport competition, some judges will rank participants from worst to best and give prizes to … Continue reading
Posted in Big data, Data Mining, Data science, Pattern Mining
Tagged data, data mining, data science, pattern, sequential pattern
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(video) Minimal Periodic Frequent Itemset with PFPM
This is a video presentation of the paper “PFPM: Discovering Periodic Frequent Patterns with Novel Periodicity Measures” about periodic pattern mining using PFPM. It is part of my new series of videos about data mining algorithms VIDEO LINK: https://www.philippe-fournier-viger.com/spmf/videos/pfpm.mp4 (link to download the … Continue reading
Posted in Big data, Data Mining, Data science
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Expensive Academic Conferences – the case of ICDM
I was recently thinking of attending IEEE ICDM 2018 (International Conference on Data Mining) in Singapore, next month. It is a top 5 data mining conference. According to my schedule, I could attend it for 2 days, and since Singapore is close to China, it … Continue reading
Posted in Big data, Conference, Data Mining
Tagged big data, conference, data mining, expensive, icdm, kdd, registration fee
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(video) Minimal High Utility Itemset Mining with MinFHM
This is a video presentation of the paper “Mining Minimal High Utility Itemsets” about high utility itemset mining using MinFHM. It is the first video of a series of videos that will explain various data mining algorithms. VIDEO LINK : https://www.philippe-fournier-viger.com/spmf/videos/minfhm.mp4 More information … Continue reading
Periodic patterns in Web log time series
Recently, I have analysed trends about visitors on this blog. I have made two observations. First, there is about 500 to 1000 visitors per day. For this, I want to thank you all for reading and commenting on the blog. Second, if we … Continue reading
Posted in Big data, Data Mining, Data science, Time series
Tagged data, periodic pattern, periodicity, time series, web, web log
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Report about the KDD 2018 conference
This week, I am participating to the KDD 2018 ( 24th ACM SIGKDD Intern. Conference on Knowledge Discovery and Data Mining), in London, UK from the 19th to 23rd August 2018. The KDD conference is an international conference, established 24 years ago. It is the top conference in the field of data mining / … Continue reading
Posted in Big data, Conference, Data Mining, Data science
Tagged big data, conference, data mining, data science, kdd
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The future of pattern mining
In this blog post, I will talk about the future of research on pattern mining. I will also discuss some lessons learnt from the decades of research in this field and talk about research opportunities. What is the state of research on pattern mining? Over the last … Continue reading
Posted in Data Mining, Pattern Mining
Tagged big data, data mining, data science, pattern mining
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An interview with P. Fournier-Viger about AI and data mining
I recently was interviewed by Djavan de Clercq, a graduate student from Tsinghua University, working on Machine Learning and Optimization. The interview can be read here (on LinkedIn). I answer ten questions related to data mining and AI research. —-Philippe Fournier-Viger is a professor of Computer Science and also the founder of the open-source data mining software SPMF, offering … Continue reading
Posted in Big data, Data Mining, Data science
Tagged artificial intelligence, big data, data mining, interview
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