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Category Archives: Data Mining
Report about the KDD 2018 conference
This week, I am participating to the KDD 2018 ( 24th ACM SIGKDD Intern. Conference on Knowledge Discovery and Data Mining), in London, UK from the 19th to 23rd August 2018. The KDD conference is an international conference, established 24 years ago. It is the top conference in the field of data mining / … Continue reading
Posted in Big data, Conference, Data Mining, Data science
Tagged big data, conference, data mining, data science, kdd
3 Comments
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 research on pattern mining? Over the last … Continue reading
Posted in Data Mining, Pattern Mining
Tagged big data, data mining, data science, pattern mining
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An interview with P. Fournier-Viger about AI and data mining
I recently was interviewed by Djavan de Clercq, a graduate student from Tsinghua University, working on Machine Learning and Optimization. The interview can be read here (on LinkedIn). I answer ten questions related to data mining and AI research. —-Philippe Fournier-Viger is a professor of Computer Science and also the founder of the open-source data mining software SPMF, offering … Continue reading
Posted in Big data, Data Mining, Data science
Tagged artificial intelligence, big data, data mining, interview
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A Model for Football Pass Prediction (source code + dataset)
In this blog post, I will discuss the data challenge of the Machine Learning for Sport Analytics workshop (MLSA 2018) at PKDD 2018. The challenge consisted of predicting the receivers of football passes (pass prediction). I will first briefly describe the data and then … Continue reading
Posted in Data Mining, Data science, Video
Tagged data, data mining, football, mlsa, prediction
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PAKDD 2018 Conference (a brief report)
In this blog post, I will discuss the PAKDD 2018 conference (Pacific Asia Conference on Knowledge Discovery and Data Mining), in Melbourne Australia, from the 3rd June to the 6th June 2018. About the PAKDD conference PAKDD is an important conference in the data science / data mining research community, mainly attended by researchers from … Continue reading
Posted in Big data, Conference, Data Mining, Data science
Tagged asia, australia, big data, conference, data mining, pakdd
2 Comments
China International BigData Industry Expo 2018 (a brief report)
This week I have attended the China International Big Data Industry Expo 2018 in Guiyang, China. I will describe this event and some of the key things that I have observed so far. What is the China International Big Data Industry Expo? It is an international event targeted toward the industry and focused on big data, which is aimed … Continue reading
Posted in Big data, Conference, Data Mining, Data science
Tagged big data, china, expo, industry
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How to run SPMF without installing Java?
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
Posted in Data Mining, Data science, open-source, Pattern Mining, Research, spmf
Tagged data mining, pattern mining, software, spmf
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Subgraph mining datasets
In this post, I will provide links to standard benchmark datasets that can be used for frequent subgraph mining. Moreover, I will provide a set of small graph datasets that can be used for debugging subgraph mining algorithms. The format of graph datasets A graph dataset is a text … Continue reading
Posted in Big data, Data Mining
Tagged data mining, dataset, frequent subgraph, graph, subgraph
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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 in particular some patterns are … Continue reading
Posted in Data Mining, Pattern Mining
Tagged clospan, frequent pattern, incspan, pattern mining, sequential pattern
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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 implement the algorithm in 2017 and wish to save time to other researchers … Continue reading
Posted in Big data, Data Mining, Pattern Mining
Tagged algorithm, correctness, data mining, pattern mining, subgraph mining
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