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Author Archives: Philippe Fournier-Viger
What is a maximal itemset?
In data mining, an itemset is a collection of items that occur together in a transactional dataset. For example, if we have a dataset of customer purchases, an itemset could be {bread, cake, orange}, meaning that these three items were … Continue reading
A Glossary of High Utility Pattern Mining
Today, I present a glossary of key terms usedin high utility itemset mining. This glossary will be useful to researchers and practitioners working on this important subtopic of pattern mining. By the way, if you are new to this research … Continue reading
My paper is rejected. Can I appeal the editor’s decision?
Today, I will talk about what to do when a paper is rejected from a journal, and more specifically if it is possible to appeal the editor’s decision, and then what are the chance of success? Generally, if a researcher … Continue reading
Posted in Academia
Tagged academia, appeal, journal paper, publisher, rejected paper, rejection, Research, research paper
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What are Generator Itemsets?
Today, I will briefly explain what is a generator itemset. I will give some example and explain why generator itemsets are interesting and useful for some applications. I will also mention that efficient implementations can be found in the SPMF … Continue reading
Posted in Data Mining, Pattern Mining
Tagged association rule, data mining, generator, generator itemset, itemset, itemset mining, key itemset, pattern mining, spmf
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How to find cost-effective patterns in data?
Have you ever wondered how to find patterns in data that are not only frequent but also profitable and cost-effective? For example, if you are an online retailer, you may want to know what products are often bought together by … Continue reading
What is a Closed Itemset and Why is it Useful?
In this blog post, I will explain in simple terms what is a closed itemset and give some examples. I will also mention a few algorithms that can be used to find closed itemsets and that they can be found … Continue reading
Posted in Data Mining, Data science, Pattern Mining
Tagged association rule, closed itemset, closed pattern, data mining, frequent itemset, itemset, itemset mining, java, open source, pattern mining, spmf
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Introducing PSAC-PDB: A Novel Approach to Protein Structure Analysis and Classification
In this blog post, I will give a short overview of our recent research paper about protein structure analysis and classification by my team (M. S. Nawaz, P. Fournier-Viger, Y. He and Q. Zhang). Proteins are essential molecules for life, … Continue reading
Posted in Bioinformatics
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DSSBA 2023, 2nd Special Session on Data Science for Social and Behavioral Analytics @DSAA
I am excited to announce that the 2nd Special Session on Data Science for Social and Behavioral Analytics (DSSBA 2023) will be held at the 10th IEEE International Conference on Data Science and Advanced Analytics (IEEE DSAA 2023) from October … Continue reading
Posted in cfp, Conference, Data Mining, Data science
Tagged behavioral analytics, big data, cfp, conference, data mining, data science, dsaa, ieee dsaa, social analytics, social networks
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Discovering the Top-K Stable Periodic Patterns in a Sequence of Events
In this blog post, I will give a brief introduction to the TSPIN paper about how to find stable periodic patterns in a sequence of events. This algorithm was presented in this research paper: Fournier-Viger, P., Wang Y., Yang, P., … Continue reading
Posted in Big data, Data Mining, Pattern Mining, spmf
Tagged data mining, event sequence, periodic pattern, software, spmf, stability, stable patterns, top-k patterns, tspin
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Data disasters and more…
Today, I will not talk about a serious topic. Recently, I have been experimenting a little bit with generative AI tools for pictures during my free time. Some services can generate some pretty nice pictures based on text prompts. For … Continue reading
Posted in Data Mining, Data science, General, Machine Learning
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