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- Sneak peak at the new user interface of SPMF (part 2)
- Sneak peak at the new user interface of SPMF (part 1)
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- SPMF 2.60 is coming soon!
- The importance of using standard terminology in research papers
- UDML 2024 @ PAKDD 2024 (deadline extended)
- Your social network on DBLP as a graph
- Call for papers: UDML 2024 workshop @ PAKDD 2024
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Tag Archives: spmf
Sneak peak at the new user interface of SPMF (part 2)
Today, I will continue to show you some upcoming features of SPMF 2.60, on which some work is ongoing. This new version of SPMF should be released in the coming weeks. The new feature that I will talk about today … Continue reading
Posted in spmf
Tagged algorithm, data mining, episode, episode mining, event sequence, open source, pattern mining, patterns, spmf, time interval data, timeline, timeline viewer, tirp, visualization
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SPMF 2.60 is coming soon!
Today, I want to talk a little bit about the next version of SPMF that is coming very soon. Here is some highlights of the upcoming features: 1) A Memory Viewer to help monitor the performance of algorithms in real-time: … Continue reading
SPMF: upcoming feature: The Memory Viewer
Today, I would like to introduce an upcoming feature that will be released in the next version of SPMF (v. 2.60). It is a tool called the Memory Viewer. This tool is very simple yet useful for investigating the performance … Continue reading
Posted in Data Mining, Data science, open-source, Pattern Mining, spmf
Tagged data mining, data science, java, memory, open source, pattern, pattern mining, spmf
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Free Pattern Mining Course
Hi all, this is to let you know that I have developed a free pattern mining course that you can watch online. The course is designed to introduce students or researchers to the different topics of pattern mining and explain … Continue reading
What are Generator Itemsets?
Today, I will briefly explain what is a generator itemset. I will give some example and explain why generator itemsets are interesting and useful for some applications. I will also mention that efficient implementations can be found in the SPMF … Continue reading
Posted in Data Mining, Pattern Mining
Tagged association rule, data mining, generator, generator itemset, itemset, itemset mining, key itemset, pattern mining, spmf
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What is a Closed Itemset and Why is it Useful?
In this blog post, I will explain in simple terms what is a closed itemset and give some examples. I will also mention a few algorithms that can be used to find closed itemsets and that they can be found … Continue reading
Posted in Data Mining, Data science, Pattern Mining
Tagged association rule, closed itemset, closed pattern, data mining, frequent itemset, itemset, itemset mining, java, open source, pattern mining, spmf
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Discovering the Top-K Stable Periodic Patterns in a Sequence of Events
In this blog post, I will give a brief introduction to the TSPIN paper about how to find stable periodic patterns in a sequence of events. This algorithm was presented in this research paper: Fournier-Viger, P., Wang Y., Yang, P., … Continue reading
Posted in Big data, Data Mining, Pattern Mining, spmf
Tagged data mining, event sequence, periodic pattern, software, spmf, stability, stable patterns, top-k patterns, tspin
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SPMF’s architecture (5) The Graphical User Interface
This is the fifth post of a series of blog posts about the architecture of the SPMF data mining library. Today, I will specifically talk about the graphical user interface of SPMF, its main components and how it interacts with … Continue reading
Posted in Data Mining, Data science, Java, open-source, spmf
Tagged architecture, data mining, data science, graphical user interface, gui, java, open source, pattern mining, software, spmf
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SPMF 3.0: Towards even more efficiency
In this blog post, I will talk about the future of SPMF. I do this once in a while. Today, I will discuss on the performance of SPMF. Performance A main focus of SPMF is and has always been efficiency … Continue reading
Posted in Big data, Data Mining, Data science, Java, open-source, spmf
Tagged data mining, data science, software, spmf
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