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Recent Posts
- Analyzing the COVID-19 genome with AI and data mining techniques (paper + data + code)
- New version of SPMF (2.44): 4 new algorithms, datasets and features
- An introduction to frequent subgraph mining (repost)
- Sequential pattern mining vs Sequence prediction ?
- Email invitation to be a “special” speaker, a scam?
- Two journal special issues with deadlines in 2021
- Atomic Habits to Become a Better Researcher
- The Hard Road to Success in Academia
- If I would do a PhD again, what would I do differently?
- Analyzing COVID-19 tweets to understand the public opinion
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- Philippe Fournier-Viger on Six important skills to become a succesful researcher
- Analyzing the COVID-19 genome with AI and data mining techniques (paper + data + code) | The Data Mining Blog on An Introduction to Sequential Rule Mining
- Analyzing the COVID-19 genome with AI and data mining techniques (PAPER + CODE + DATA) | The Data Mining Blog on An Introduction to Sequential Pattern Mining
- Irfan Nurhidayat on Six important skills to become a succesful researcher
- Lankarie Chamoda on Six important skills to become a succesful researcher
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Author Archives: Philippe Fournier-Viger
An Introduction to Sequential Rule Mining
In this blog post, I will discuss an interesting topic in data mining, which is the topic of sequential rule mining. It consists of discovering rules in sequences. This data mining task has many applications for example for analyzing the behavior of … Continue reading
Posted in Data Mining, Research
Tagged data mining, frequent patterns, high utility, sequential rules
22 Comments
How to test if a data mining mining algorithm implementation is correct?
In this blog post, I will discuss how to check if a data mining algorithm implementation is correct and complete. This is a very important topic for researchers who are implementing data mining algorithms since an incorrect implementation may generate unexpected results. … Continue reading
Posted in Data Mining, Programming, Research, Uncategorized
Tagged algorithm, correctness, data mining, debugging
3 Comments
The PAKDD 2015 Conference (a brief report)
I have attended the 19th PAKDD 2015 conference in Ho Chi Minh City, Vietnam from the 19th to 22nd May. In this blog post, I give some brief comments about the PAKDD 2015 conference. PAKDD ( Pacific-Asia Conference series on Knowledge Discovery and Data Mining ) is a top data mining conference, held every … Continue reading
Posted in Conference, Data Mining, Data science
Tagged asia, big data, conference, data mining, pakdd
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An Introduction to High-Utility Itemset Mining
In this blog post, I will give an introduction about a popular problem in data mining, which is called “high-utility 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, high-utility mining, itemset mining, java, open-source, source code, spmf, utility mining
59 Comments
Drawing a set-enumeration tree using Java and GraphViz
In this blog post, I will explain and provide source code to automatically draw the set-enumeration tree of a set using Java and GraphViz. Drawing a set-enumeration tree is useful in computer science, for example in frequent itemset mining, a subfield of data … Continue reading
Posted in Data Mining, Mathematics, Programming, Research
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How to give a good oral presentation at an academic conference?
Today, I will discuss the topic of how to give a good oral presentation of your research at academic cconferences. This is a very important topic since if a presentation is interesting, more researchers will be interested in your work and it may bring … Continue reading
Posted in Conference, General, Research, Uncategorized
2 Comments
Brief report about the ADMA 2014 conference
In this blog post, I will discuss my current trip to the ADMA 2014 conference (10th Intern. Conf. on Advanced Data Mining and Applications in China (December 19-21 2014 in Guilin, China). Note that the views expressed in this post are my personal opinion/interpretation … Continue reading
Posted in Conference, Data Mining
4 Comments
Drawing the Powerset of a Set using Java and GraphViz (Hasse Diagram)
In this blog post, I will explain and provide source code to automatically draw the powerset of a set using Java and GraphViz. Drawing a powerset is useful in mathematics and also in computer science, for example in frequent itemset mining, it can … Continue reading
Posted in Data Mining, General, Mathematics
Tagged graphviz, hasse diagram, itemset mining, java, powerset
2 Comments
Big Problems only found in Big Data?
Today, I will discuss the topic of Big Data, which is a very popular topic nowadays. The popularity of big data can be seen for example in universities. Many universities are currently searching for professors who do research on “big data”. Moreover, … Continue reading
Report of the PAKDD 2014 conference (part 3)
This post continue my report of the PAKDD 2014 in Tainan (Taiwan). The panel about big data Friday, there was a great panel about big data with 7 top researchers from the field of data mining. I will try to faithfully report some … Continue reading
Posted in Conference, Data Mining
1 Comment