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- Upcoming feature of SPMF 2.66 : Visual Pattern Viewer
- Improved Visual Pattern Viewer with Pagination in SPMF 2.66
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Tag Archives: sequential patterns
Performance of Java vs Python for Sequential Pattern Mining (CM-SPAM)
There is always a debate about the performance of different programming languages, which is one aspect among many for choosing a programming language. As the founder of the SPMF data mining library, implemented in Java and focused on performance, I … Continue reading
How to Analyze the Complexity of Pattern Mining Algorithms？
Today, I will explain how to analyze the complexity of pattern mining algorithms for topics such as itemset mining, sequential pattern mining, subgraph mining, sequential rule mining and periodic pattern mining. This is something that is often asked by reviewers … Continue reading
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 introduction. If you want to read a more … Continue reading
Discovering and visualizing sequential patterns in web log data using SPMF and GraphViz
Today, I will show how to use the open-source SPMF data mining software to discover sequential patterns in web log data. Then, I will show to how visualize the frequent sequential patterns found using GraphViz. Step 1 : getting the … Continue reading
Posted in Data Mining, Java, open-source, Programming, spmf
Tagged data mining, graph, patterns, sequential patterns, spmf, visualization
8 Comments
An introduction to frequent pattern mining
In this blog post, I will give a brief overview of an important subfield of data mining that is called pattern mining. Pattern mining consists of using/developing data mining algorithms to discover interesting, unexpected and useful patterns in databases. Pattern … Continue reading
Posted in Data Mining, Research
Tagged association rule, itemset, itemset mining, pattern mining, sequential patterns
28 Comments