In this blog post, I will discuss the PAKDD 2018 conference (Pacific Asia Conference on Knowledge Discovery and Data Mining), in Melbourne Australia, from the 3rd June to the 6th June 2018. About the PAKDD conference PAKDD is an important conference … Continue reading

# Tag Archives: data science

In this post, I will provide two standard benchmark datasets that can be used for frequent subgraph mining. Moreover, I will provide a set of small graph datasets that I have created for debugging subgraph mining algorithms. The format of … Continue reading

Discovering interesting patterns in data is often referred as data mining, data science or big data. In the last few years, I have written several blog posts providing introduction to data mining and key topics in data mining: An Introduction to … Continue reading

In the data science and data mining communities, several practitioners are applying various algorithms on data, without attempting to visualize the data. This is a big mistake because sometimes, visualizing the data greatly helps to understand the data. Some phenomena are obvious … Continue reading

In this blog post, I will give an introduction to sequential pattern mining, an important data mining task with a wide range of applications from text analysis to market basket analysis. This blog post is aimed to be a short … Continue reading

In this blog post, I will introduce the topic of data mining. The goal is to give a general overview of what is data mining. What is data mining? Data mining is a field of research that has emerged in … Continue reading

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

In this blog post, I will discuss one of my recent and current project. I have been recently working with my colleague Chun-Wei Lin on launching a new journal, titled “Data Science and Pattern Recognition“. This is a new open-access journal, … Continue reading

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

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