Tag Archives: spmf

SPMF 2.48

Posted on 2021-06-28 by Philippe Fournier-Viger

Hi all, I have not been very active on the blog during the last month. This is because I had many thinsg going on in my personal and professional life that I will not reveal here. But I will be … Continue reading →

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New version of SPMF (2.44): 4 new algorithms, datasets and features

Posted on 2021-02-12 by Philippe Fournier-Viger

Today, I am happy to announce that a new version of the SPMF open-source data mining software is released (v. 2.44). This is the download page. This new version was made possible due to several contributors. What is new? New … Continue reading →

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The SPMF data mining library v.2.40 is released!

Posted on 2019-10-23 by Philippe Fournier-Viger

Hi all, I am please to announce that a new version of SPMF has just been published (v 2.40). It contains 9 novel algorithms: It also includes some bug fixes and other minor improvements. I did not release a new version of SPMF since a few … Continue reading →

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Analyzing the source code of SPMF (5 years later)

Posted on 2019-01-12 by Philippe Fournier-Viger

Five years ago, I had analyzed the source code of the SPMF data mining software using an open-source tool called CodeAnalyzer ( http://sourceforge.net/projects/codeanalyze-gpl/ ). This had provided some interesting insights about the structure of the project, especially in terms of lines of codes and code to … Continue reading →

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(video) Minimal High Utility Itemset Mining with MinFHM

Posted on 2018-10-22 by Philippe Fournier-Viger

This is a video presentation of the paper “Mining Minimal High Utility Itemsets” about high utility itemset mining using MinFHM. It is the first video of a series of videos that will explain various data mining algorithms. VIDEO LINK : https://www.philippe-fournier-viger.com/spmf/videos/minfhm.mp4 More information … Continue reading →

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How to run SPMF without installing Java?

Posted on 2018-04-02 by Philippe Fournier-Viger

The SPMF data mining software is a popular open-source software for discovering patterns in data and for performing other data mining tasks. Typically, to run SPMF, Java must have been installed on a computer. However, it is possible to run SPMF on a computer that does not have Java installed. For example, … Continue reading →

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Introduction to the K-Means clustering algorithm (with Java code)

Posted on 2016-12-27 by Philippe Fournier-Viger

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 K-Means algorithm with an example. Moreover, I will briefly explain how an open-source Java implementation of … Continue reading →

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Introduction to time series mining with SPMF

Posted on 2016-12-18 by Philippe Fournier-Viger

This blog post briefly explain how time series data mining can be performed with the Java open-source 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 →

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Discovering hidden patterns in texts using SPMF

Posted on 2016-09-17 by Philippe Fournier-Viger

This tutorial will explain how to analyze text documents to discover complex and hidden relationships between words.  We will illustrate this with a Sherlock Holmes novel. Moreover we will explain how hidden patterns in text can be used to recognize the author of a … Continue reading →

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News about SPMF

Posted on 2016-02-03 by Philippe Fournier-Viger

Some quick news about the SPMF project. First, this month I have made a few updates to SPMF.  Two new algorithms have been added: USpan (for high-utility sequential pattern mining) and FCHM (for correlated high utility itemset mining). Moreover, I have fixed … Continue reading →

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