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Author Archives: Philippe Fournier-Viger
Approximate Algorithms for High Utility Itemset Mining
On this blog, I have previously given an introduction to a popular data mining task called high utility itemset mining. Put simply, this task aims at finding all the sets of values (items) that have a high importance in a … Continue reading
Posted in Pattern Mining, Utility Mining
Tagged bat algorithm, Bpso, genetic algorithm, hill climbing, HUIM-GA, itemset mining, pso, simulated annealing, utility mining
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UDML 2021 @ ICDM 2021
Hi all, This is to let you know that the UDML workshop on utility driven mining and learning is back again this year at ICDM 2021, for the fourth edition. The topic of this workshop is the concept of utility … Continue reading
Posted in Big data, cfp, Conference, Data Mining, Utility Mining
Tagged cfp, data mining, icdm, icdm 2021, icdm conference, ieee icdm, machine learning, udml, utility mining, workshop
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MLiSE 2021 @ PKDD 2021 – a new workshop!
I am glad to announce that I am co-organizing a new workshop called MLiSE 2021 (1st international workshop on Machine Learning in Software Engineering), held in conjunction with the ECML PKDD 2021 conference. Briefly, the aim of this workshop is … Continue reading
Posted in artificial intelligence, Big data, cfp, Conference, Machine Learning
Tagged artificial intelligence, cfp, data, data mining, machine learning, mlise, pkdd, pkdd 2021, software engineering, workshop
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Mining Episode Rules (video)
In this blog post, I will share the video of our most recent data mining paper presented last week at ACIIDS 2021. It is about a new algorithm named POERM for about analyzing sequences of events or symbols. The algorithm will find rules … Continue reading
Posted in Big data, Data Mining, Machine Learning, Video
Tagged aciids 2021, data mining, episode, episode rule, machine learning, pattern mining, video
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A Brief Report about ACIIDS 2021 (13th Asian Conference on Intelligent Information and Database Systems)
In this blog post, I will give a brief report about the ACIIDS 2021 conference, that I am attending from April 7–10, 2021. What is ACIIDS? ACIIDS is an international conference focusing on intelligent information and database systems. The conference … Continue reading
Phrasebank, an interesting tool to improve your academic writing.
Writing a research paper is not easy! It is a skill that takes time to master. Luckily, most research papers follow more or less the same structure. In previous blog posts, I have given an overview of how to write … Continue reading
Posted in Academia, Research
Tagged academic phrasebank, ademic writing, paper, phrasebank, Research, thesis, writing
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Papers without code (and the problem of non-reproducible research)
Recently, there has been some debate on the Machine Learning sub-Reddit about the reproducibility or I should say the lack of reproducibility of numerous machine learning papers. Several Reddit users complained that they spent much time (sometimes weeks) to try … Continue reading
Posted in Uncategorized
Tagged academia, open source, paper_without_code, reproducibility, Research, sourcecode
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An Overview of Pattern Mining Techniques
In this blog post, I will give an overview of some of the main pattern mining tasks, to explain what kind of patterns can be found in different types of symbolic data. I will describe some main types of data … Continue reading
How to write a research grant proposal?
Today, I will discuss how to write a good research grant proposal. This topic is important for researchers, who are at the beginning of their careers and want to obtain funding for their research projects. A good research proposal can be career-changing as it … Continue reading
Posted in Academia, Research
Tagged academia, fund, funding, grant, grant proposal, professor, Research, research fund, researcher, university
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Some funny or interesting websites related to research
Today I will talk about a few websites that are somewhat funny and are related to research. Auto-reject ( https://autoreject.org/ ) This is a website that let you automatically generate reviews to reject papers. The reviewer need to check some … Continue reading