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Category Archives: Data science
The Upcoming 3rd Utility Mining and Learning Workshop (UDML 2020!) at IEEE ICDM 2020
Today, I just want to talk a little bit about the upcoming 3rd UDML 2020 workshop on utility mining and learning that I am co-organizing at the IEEE ICDM 2020 conference. This workshop was previously held at KDD 2018 and … Continue reading
Datasets of 30 English novels for pattern mining and text mining
Today, I want to announce that I have just made public datasets of 30 novels from English Novels from 10 authors of the XIX century. These datasets can be used for testing algorithms for sequential pattern mining, sequential rule mining, as well as for some text … Continue reading
The PAKDD 2020 conference (a brief report)
In this report, I will talk about the 24th Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD 2020), from the 11th to 14th May 2020. The PAKDD conference PAKDD is a top international conference on data mining / big data in the Pacific-Asia part of the world. … Continue reading
Posted in Conference, Data Mining, Data science
Tagged conference, data mining, data science, pakdd
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“Pattern Mining :Theory and Practice” (textbook in Thai, with SPMF)
Hi all, this is to announce that a new textbook in Thai has been published about pattern mining, which includes many examples using the SPMF software. The textbook named “Pattern Mining: Theory and Practice” is written by teacher Panida Songram from Mahasarakham University (Thailand) and can be used for … Continue reading
Posted in Data Mining, Data science, Pattern Mining
Tagged pattern mining, textbook, thai
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(video) Mining Locally Trending High Utility Itemsets
Today, I want to share with you the video presentation that I have prepared for my paper at PAKDD 2020. It presents a new problem where we want to discover locally trending high utility itemsets (LTHUIs). A LTHUI is a set of items purchased by … Continue reading
(video) Discovering interpretable high utility patterns in databases
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 that can … Continue reading
(video) Identifying Stable Periodic Frequent Patterns using SPP-Growth
Today, I present a video about finding stable periodic patterns in data, and discuss a new algorithm named SPP-Growth for this task. VIDEO LINK: http://www.philippe-fournier-viger.com/spmf/videos/SPPGrowth.mp4 The SPP-Growth algorithm and datasets for evaluating its performance are available in the SPMF software, which is open-source and programmed in Java. Source code and … Continue reading
(Video) Sequence prediction with the CPT and CPT+ Models
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 next word that someone will … Continue reading
What is the difference between data mining and machine learning?
I n this short blog post, I will answer the question: what is the difference between Machine Learning and Data Mining? I will first explain what is artificial intelligence, machine learning and data mining. Then, I will answer the question. What is artificial … Continue reading
Posted in artificial intelligence, Big data, Data Mining, Data science
Tagged ai, artificial intelligence, data mining, machine learning
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Brief report about the ADMA 2019 conference
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 data mining and its applications, and is … Continue reading
Posted in Conference, Data Mining, Data science
Tagged adma, big data, china, conference, data mining
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