Call for chapters on periodic pattern mining

Hi all, I have not written much on the blog in the last month because I have been very busy with numerous projects and deadlines. I thus took a small break to focus on other things. Now that I have … 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, … 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 … Continue reading

UDML 2020 – Utility Driven Mining and Learning Workshop

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 (UDML 2020). This is a good … Continue reading

(video) Mining Cost-Effective Patterns

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

(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