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

Introduction to time series mining with SPMF

This blog post briefly explain how time series data mining can be performed with the Java open-source data mining library SPMF (v.2.06).  It first explain what is a time series and then discuss how data mining can be performed on time series. What is … 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

An Introduction to Sequential Rule Mining

In this blog post, I will discuss an interesting topic in data mining, which is the topic of sequential rule mining. It consists of discovering rules in sequences. This data mining task has many applications for example for analyzing the behavior of … Continue reading