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 (video) Minimal High Utility Itemset Mining with MinFHM
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Tag Archives: pattern mining
(video) Minimal High Utility Itemset Mining with MinFHM
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 video that will explain various data mining algorithms. (link to download … Continue reading
Posted in Big data, Data Mining, Pattern Mining, Utility Mining, video
Tagged big data, data mining, data science, highutility mining, itemset, MinFHM, minimal itemset, pattern mining
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Upcoming book: High Utility Itemset Mining: Theory, Algorithms and Applications
I am happy to announce that the draft of the book about high utility pattern mining has been finalized and submitted to the publisher (Springer). It should thus be published in the very near future. The book contains 12 chapters written … Continue reading
Posted in Big data, Data Mining, Data science, Pattern Mining, Utility Mining
Tagged algorithms, big data, book, data mining, data science, highutility mining, pattern mining
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The future of pattern mining
In this blog post, I will talk about the future of research on pattern mining. I will also discuss some lessons learnt from the decades of research in this field and talk about research opportunities. What is the state of … Continue reading
Posted in Big data, Data Mining, Data science
Tagged big data, data mining, data science, pattern mining
2 Comments
On the Completeness of the CloSpan and IncSpan algorithms
In this blog post, I will briefly discuss the fact that the popular CloSpan algorithm for frequent sequential pattern mining is an incomplete algorithm. This means that in some special situations, CloSpan does not produce the expected results that it has been designed for, and … Continue reading
On the correctness of the FSMS algorithm for frequent subgraph mining
In this blog post, I will explain why the FSMS algorithm for frequent subgraph mining is an incorrect algorithm. I will publish this blog post because I have found that the algorithm is incorrect after spending a few days to … Continue reading
Posted in Big data, Data Mining, Graph mining
Tagged data mining, frequent subgraph, fsms, graph, graph mining, pattern mining
5 Comments
How to discover interesting patterns in data?
Discovering interesting patterns in data is often referred as data mining, data science or big data. In the last few years, I have written several blog posts providing introduction to data mining and key topics in data mining: An Introduction to … Continue reading
Posted in Big data, Data Mining, Data science, Research
Tagged big data, data mining, data science, pattern mining, survey
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Call for chapters: High Utility Pattern Mining, the book
CALL FOR CHAPTERS HighUtility Pattern Mining: Theory, Algorithms and Applications Editors: Philippe FournierViger, ChunWei Lin, Roger Nkambou, Bay Vo An edited book to be published by Springer in 2018 Introduction This book will provide an introduction to the high utility mining, reviews stateoftheart … Continue reading
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, Graph mining
Tagged algorithm, big data, data mining, data science, frequent subgraphs, graph, pattern mining
17 Comments
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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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 Big data, Data Mining, Data science, Research
Tagged association rule, itemset, itemset mining, pattern mining, sequential patterns
19 Comments