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Category Archives: Data science
Subgraph mining datasets
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
Posted in Big data, Data Mining, Data science, Graph mining
Tagged big data, data mining, data science, graph
3 Comments
On the Completeness of the CloSpan and IncSpan algorithms
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
How to discover interesting patterns in data?
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
Posted in Big data, Data Mining, Data science, Research
Tagged big data, data mining, data science, pattern mining, survey
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Call for chapters: High Utility Pattern Mining, the book
CALL FOR CHAPTERS HighUtility Pattern Mining: Theory, Algorithms and Applications Editors: Philippe FournierViger, ChunWei Lin, Roger Nkambou, Bay Vo An edited book to be published by Springer in 2018 Introduction This book will provide an introduction to the high utility mining, reviews stateoftheart … Continue reading
Introduction to the Apriori algorithm (with Java code)
This blog post provides an introduction to the Apriori algorithm, a classic data mining algorithm for the problem of frequent itemset mining. Although Apriori was introduced in 1993, more than 20 years ago, Apriori remains one of the most important data mining algorithms, not … Continue reading
Posted in Big data, Data Mining, Data science, Opensource
Tagged apriori algorithm, frequent itemset, frequent pattern, itemset mining, java, source code
14 Comments
The PAKDD 2017 conference (a brief report)
This week, I have attended the PAKDD 2017 conference in Jeju Island, South Korea, this week, from the 23 to 26th May. PAKDD is the top data mining conference for the asiapacific region. It is held every year in a … Continue reading
Posted in Academia, Big data, Conference, Data Mining, Data science
Tagged big data, conference, data mining, pakdd
2 Comments
This is why you should visualize your data!
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
Posted in Big data, Data Mining, Data science
Tagged big data, data, data mining, data science, visualization
3 Comments
An Introduction to Sequential Pattern Mining
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
Posted in Big data, Data Mining, Data science
Tagged big data, data mining, data science, frequent pattern mining, frequent patterns, pattern, sequence, sequential pattern
51 Comments
An Introduction to Data Mining
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
Posted in Data Mining, Data science, General
Tagged big data, data mining, data science, introduction
8 Comments
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
Posted in Big data, Data Mining, Data science, Graph mining
Tagged algorithm, big data, data mining, data science, frequent subgraphs, graph, pattern mining
17 Comments