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 On the correctness of the FSMS algorithm for frequent subgraph mining
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 How to discover interesting patterns in data?
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Tag Archives: source code
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
8 Comments
An Introduction to HighUtility Itemset Mining
In this blog post, I will give an introduction about a popular problem in data mining, which is called “highutility itemset mining” or more generally utility mining. I will give an overview of this problem, explains why it is interesting, and provide source code of … Continue reading
Posted in Data Mining, Research, Utility Mining
Tagged data mining, datasets, frequent pattern mining, highutility mining, itemset mining, java, opensource, source code, spmf, utility mining
102 Comments
How to encourage data mining researchers to share their source code and datasets?
A few months ago, I wrote a popular blog post on this blog about why it is important to publish source code and datasets for researchers“. I explained several advantages that researchers can get by sharing the source code of … Continue reading
Posted in Data Mining, Research
Tagged data mining, dataset, opensource, source code
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Why it is important to publish source code and datasets for researchers?
Today, I will discuss about why it is important that researchers share their source code and data. As some of you know, I’m working on the design of data mining algorithms. More specifically, I’m working on algorithms for discovering patterns … Continue reading
Posted in Research
Tagged algorithms, data mining, datasets, opensource, Research, software, source code
5 Comments