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
This is a video presentation of the Apriori algorithm for discovering frequent itemsets in data. Frequent itemset mining is one of the most popular data mining task. The Java source code of the Apriori algorithm and datasets for evaluating … Continue reading
In this blog post, I will briefly discuss the fact that the popular CloSpan algorithm for frequent sequential pattern mining is an incomplete algorithm. This means that in some special situations, CloSpan does not produce the expected results that it has been designed for, and … 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 how to check if a data mining algorithm implementation is correct and complete. This is a very important topic for researchers who are implementing data mining algorithms since an incorrect implementation may generate unexpected results. … Continue reading
In this post, I will discuss what are the steps that I follow to implement a data mining algorithm. The subject of this post comes from a question that I have received by e-mail recently, and I think that it … Continue reading