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Recent Posts
- An algorithm for Periodic Frequent Pattern Mining in Uncertain Databases (PPFP-Growth)
- SPMF v.2.67 is released! (major update)
- Upcoming feature of SPMF 2.67: explicit input and output file types
- CFP: Special issue on Energy-aware Artificial Intelligence
- Performance of Java vs Python for Sequential Pattern Mining (CM-SPAM)
- SPMF v2.66 is released
- Two upcoming workshops on bioinformatics and machine learning / pattern mining
- Upcoming SPMF 2.66 feature: Improved Workflow Editor
- Upcoming feature of SPMF 2.66 : Visual Pattern Viewer
- Improved Visual Pattern Viewer with Pagination in SPMF 2.66
Recent Comments
- Olivia Chen on How to draw subgraphs side-by-side in Latex? (with TIKZ)
- Philippe Fournier-Viger on How to become a well-known researcher?
- SILAS MAZIKU KWIZIGIZYA on How to become a well-known researcher?
- Liev on About the author
- me on Unusual Web traffic and end of the forum.
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Author Archives: Philippe Fournier-Viger
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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Is the next artificial intelligence winter coming?
In recent years, there have been an increased interest in Artificial Intelligence (AI). This is due in part to some advances for training and building neural networks, which have allowed to solve some difficult problems with greater success. This has lead … Continue reading
Report about the 13th ADMA conference (ADMA 2018)
I have recently attended the 13th International Conference on Advanced Data Mining and Applications (ADMA 2018) in Nanjing, China from the 16th to 18th October 2018. In this blog post, I will give a brief report about this conference. What is the ADMA conference? ADMA is a … Continue reading
How to calculate Erdös numbers? and co-authorship relationships in academia
There exists many ways of analyzing the relationships between co-authors in Academia. In this blog post, I will talk about a fun measure called the “Erdös number“, which has been proposed in the field of mathematics in the 90s. The Erdos number of a person … Continue reading
How journal paper similarity checking works? (CrossCheck)
In this blog post, I will talk about the recent trends of journal editors rejecting papers because of their similarity with other papers as detected by the CrossCheck system. I will explain how this system works and talk about its impact, benefits … Continue reading
(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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Skills needed for a data scientists? (comments on the HBR article)
Recently, I have read an article of the Harvard Business Review (HBR) website about data sciences skills for businesses. This article proposes to categorize skills related to data on a 2×2 matrix where skills are labelled as useful VS not useful, and … Continue reading
Posted in Big data, Data science
Tagged big data, data, data mining, data science, skills
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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