An introduction to frequent subgraph mining

In this blog post, I will give an introduction to an interesting data mining task called frequent subgraph mining, which consists of discovering interesting patterns in graphs. This task is important since data is naturally represented as graph in many domains (e.g. … Continue reading

Introduction to clustering: the K-Means algorithm (with Java code)

In this blog post, I will introduce the popular data mining task of clustering (also called cluster analysis).  I will explain what is the goal of clustering, and then introduce the popular K-Means algorithm with an example. Moreover, I will briefly explain how an open-source Java implementation of … Continue reading

Brief report about the IEA AIE 2016 conference

This week, I have attended the IEA AIE 2016 conference, held at Morioka, Japan from the 2nd to the 4th August 2016. In this blog post, I will briefly discuss the conference. About the conference IEA AIE 2016 (29th International Conference on … Continue reading

Brief report about the MLDM 2016 Conference (12th International Conference on Machine Learning and Data Mining conference)

In this blog post, I will provide a brief report about the 12th Intern. Conference on Machine Learning and Data Mining (MLDM 2016), that I have attended from the 18th to 20th July 2016 in Newark, USA. About the conference This is the 12th edition … Continue reading