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 An Introduction to Sequential Pattern Mining
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 An introduction to frequent subgraph mining
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Tag Archives: data science
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
2 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
2 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
Tagged algorithm, big data, data mining, data science, frequent subgraphs, graph, pattern mining
7 Comments
We are launching a new data mining journal
In this blog post, I will discuss one of my recent and current project. I have been recently working with my colleague ChunWei Lin on launching a new journal, titled “Data Science and Pattern Recognition“. This is a new openaccess journal, … Continue reading
Posted in Big data, Data Mining, Data science, Research
Tagged big data, data mining, data science, journal
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Introduction to clustering: the KMeans 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 KMeans algorithm with an example. Moreover, I will briefly explain how an opensource Java implementation of … Continue reading
Posted in Big data, Data Mining, Data science, Opensource
Tagged clustering, data mining, data science, java, kmeans, opensource, spmf
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Introduction to time series mining with SPMF
This blog post briefly explain how time series data mining can be performed with the Java opensource 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
Posted in Big data, Data Mining, Opensource, Time series
Tagged big data, data mining, data science, java, opensource, pattern mining, SAX algorithm, spmf, time series
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