Category Archives: Uncategorized

In November, I released the version 2.64 of SPMF with 5 new algorithms and 2 new tools, among other improvements, but I still had several other pattern mining algorithms waiting to be released after more tests. Thus, today, I make … Continue reading →

Today, I am pleased to share that our team has published a new algorithm called GMP for the compression and analysis of protein sequences. The paper will appear next month at BIBM 2025. Here is the full reference: Nawaz, M. … Continue reading →

Today, I wrote some code to visualize the relationships between the algorithms offered in the SPMF open-source pattern mining library. Here is the graph of all algorithms in SPMF (excluding tools) that have the same input and output type: We … Continue reading →

Today, I just want to talk to you about some upcoming features of the next SPMF version, which will be called 2.62. Some feature that I have currently adding is more tools to calculate statistics about datasets, as you can … Continue reading →

I am glad to announce that the 6th UDML 2024 workshop on Utility-Driven Mining and Learning will be held next year at the PAKDD 2024 conference. IMPORTANT DATES PUBLICATIONS All the accepted papers will be invited for publication in a … Continue reading →

Today, I want to show you a new interactive demo of the KNN (K-Nearest Neighbors) algorithm that I have added to my website. It is designed to be used for teaching purpose to illustrate how the K-Nearest Neighbors algorithm works. … Continue reading →

Hi all, I just write a quick message to say that I did not write on the blog recently due to my very busy schedule recently. However, everything is going well. I will be back on the blog with more … Continue reading →

This is a short blog post to talk about two common errors in pattern mining research papers. 1) The first error is: “mining frequent itemsets from a database” “mining patterns from a stream”“mining patterns over a database”“mining patterns over a … Continue reading →

Sequential pattern mining (SPM) is a data mining technique that aims to discover patterns or subsequences that occur frequently in sequential data. Sequential data can be found in various domains such as customer transactions, web browsing, text analysis, and bioinformatics. … Continue reading →