(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 … 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.  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

(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 … Continue reading

What is the difference between data mining and machine learning?

In 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 … Continue reading

A brief report about the Big Data Analytics 2019 conference (BDA 2019)

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

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 … Continue reading

The SPMF data mining library v.2.40 is released!

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

Postdoctoral positions in data mining in Shenzhen, China (apply now)

The CIID research center of the Harbin Institute of Technology (Shenzhen campus, China) is looking to hire two postdoctoral researchers to carry research on data mining / big data. An applicant: must have obtained a Ph.D. in computer Science within the last 3 years, must be less … Continue reading