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Hi all, This is to let you know the good news that the UDML workshop on Utility Driven Mining and Learning will be back this year, at IEEE ICDM 2020, for the third edition. This is a good venue to … Continue reading
Category Archives: Data science
In this blog post, I will share another talk that I have recorded recently. This time, I will explain a new paper from my team about discovering cost-effective patterns using some algorithms called CEPB and CEPN. Mining cost-effective patterns is … Continue reading
Today, I will share a short keynote talk (28 min) about discovering interpretable high utility patterns in data that I have presented at the CCNS 2020 conference. This talk gives an overview of techniques for finding interesting and useful patterns … Continue reading
Today, I present a video about finding stable periodic patterns in data, and discuss a new algorithm named SPP-Growth for this task. The SPP-Growth algorithm and datasets for evaluating its performance are available in the SPMF software, which is open-source and programmed in … Continue reading
Today, I presents the CPT and CPT+ sequence prediction models in a video. Sequence prediction is an important task in data mining which consists of predicting the next symbols of a sequence. It can be used for example to predict the … Continue reading
This week, I have attended the 7th Big Data Analytics conference (BDA 2019), which was held in Ahmedabad, India from the 17th to 20th December 2019. This was a great event with good keynote speeches, invited talks, research papers, tutorials, … Continue reading
Dear all readers of the blog. I am co-editor of a new book to be published in 2020 by Springer about emerging technologies related to the cyberspace. The title of the book is “Machine Learning and Data Mining for Emerging … Continue reading
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 … Continue reading
Hi all, I am please to announce that a new version of SPMF has just been published (v 2.40). It contains 9 novel algorithms: the HUIM-ABC algorithm for mining high utility itemsets using Artificial Bee Colony Optimization (thanks to Wei Song and Chaoming Huang for … Continue reading
This year, we are in 2019, and it is already 25 years since Agrawal wrote his seminal papers on frequent itemset mining and association rule mining in 1994. Since then, there has been thousands of papers published on this topic, … Continue reading