Archives
Categories
- Academia (67)
- artificial intelligence (33)
- Big data (75)
- cfp (8)
- Conference (57)
- Data Mining (133)
- Data science (69)
- General (39)
- Industry (1)
- Interview (1)
- Machine Learning (14)
- Mathematics (2)
- open-source (11)
- Other (1)
- Pattern Mining (39)
- Programming (16)
- Research (103)
- Time series (3)
- Uncategorized (18)
- Utility Mining (17)
- Video (12)
- Website (3)
-
Recent Posts
- How many association rules in a dataset?
- Serious issues with Time Series Anomaly Detection Research
- Merry Christmas and Happy New Year!
- Brief report about IEEE ICDM 2021
- Brief report about UDML 2021 (4th International Workshop on Utility-Driven Mining and Learning
- What is a good pattern mining algorithm?
- Delayed Conference Notifications
- Some common problems of pattern mining papers
- Three videos about Recent Studies on Pattern Mining
- Brief report about the PRICAI 2021 conference
Recent Comments
- Philippe Fournier-Viger on Six important skills to become a succesful researcher
- My email is tumebotarekegn@gmail.com on Six important skills to become a succesful researcher
- The PAKDD 2019 conference (a brief report) | The Data Mining Blog on The PAKDD 2020 conference (a brief report)
- Upcoming book: High Utility Itemset Mining: Theory, Algorithms and Applications | The Data Mining Blog on An Introduction to High-Utility Itemset Mining
- Brief report about UDML 2021 (4th International Workshop on Utility-Driven Mining and Learning | The Data Mining Blog on An Introduction to High-Utility Itemset Mining
Tag cloud
- academia
- ai
- algorithm
- algorithms
- article
- articles
- artificial intelligence
- big data
- book
- china
- conference
- data
- data mining
- data science
- frequent pattern mining
- high-utility mining
- high utility itemset mining
- icdm
- ieaaie
- itemset
- itemset mining
- java
- journal
- machine learning
- open-source
- pakdd
- paper
- papers
- pattern mining
- periodic pattern
- phd
- Research
- researcher
- research paper
- review
- reviewer
- sequence
- software
- spmf
- udml
- university
- utility mining
- video
- workshop
- writing
Number of visitors:
2,024,986
Category Archives: Data science
Serious issues with Time Series Anomaly Detection Research
In this short blog post, I will talk about some serious issues that have been raised about many studies on anomaly detection for time series. More precisely, it was recently shown that a lot of papers on anomaly detection for … Continue reading
Posted in Big data, Data Mining, Data science, Time series
Tagged anomaly, anomaly detection, artificial intelligence, data mining, data science, time series
Leave a comment
What is a good pattern mining algorithm?
Today, I will continue talking about pattern mining, and in particular about what is a good pattern mining algorithm. There are a lot of algorithms for discovering patterns in data that are not useful in real-life. To design a good pattern … Continue reading
Posted in Data Mining, Data science, Pattern Mining
Tagged data mining, data science, pattern mining
Leave a comment
CFP: The 1st Workshop on Pattern Mining and Machine Learning in Big Complex Database
This is to let you know about the upcoming 1st Workshop on Pattern mining and Machine learning in Big complex Databases (PMDB 2022) workshop that I co-organize at the DASFAA 2022 conference! PMDB 2022 aims at providing a place for researchers … Continue reading
Posted in Big data, cfp, Conference, Data Mining, Data science, Pattern Mining
Tagged big data, cfp, conference, dasfaa, data mining, data science, machine learning, pmdb, pmdb2022, workshop
Leave a comment
Towards SPMF v3.0…
Today, I will talk a little bit about the recent improvements and future direction for the SPMF data mining library. How SPMF started? SPMF is a software project that I started around 2008 when I was a Ph.D student in … Continue reading
Posted in Data Mining, Data science, open-source
Tagged data mining, data science, library, open source, software, spmf
Leave a comment
Finding short high utility itemsets!
Today, I will talk about pattern mining. I will explain a topic that is in my opinion very important but has been largely overlooked by the research community working on high utility itemset mining. It is to integrate length constraints … Continue reading
Two post-doctoral researcher positions in my team (topic: data mining / machine learning)
There are two post-doc positions that are now OPEN in my research team in Shenzhen, China. === Topic === data mining or ML algorithms for processing graphs, sequences, streams or other complex data, pattern mining === Benefits ===== Very good … Continue reading
Posted in Academia, Data Mining, Data science, Machine Learning, Research
Tagged china, data mining, graph, position, postdoc position, postdoctoral position, Research, shenzhen
Leave a comment
Brief report about the ECML PKDD 2021 conference
In this blog post, I will talk briefly about the ECML PKDD 2021 conference that I have attended virtually this week, from the 13th to the 17th of September 2021.. What is ECML PKDD? ECML PKDD is an european conference … Continue reading
An Introduction to High Utility Quantitative Itemset Mining
Today, I will talk about pattern mining, a subfield of data science that aims at finding interesting patterns in data. More precisely, I will briefly describe a popular data mining task named high utility itemset mining. Then, I will describe … Continue reading
High Utility Itemset Mining with a Taxonomy
Today, I will talk about discovering interesting patterns in data, what is called pattern mining, and in particular about how the concept of taxonomy can be useful to find interesting patterns. There has been a lot of research on pattern … Continue reading
An Introduction to Episode Mining
In this blog post, I will talk about pattern mining (finding patterns in data) data mining task called episode mining. It aim at discovering interesting patterns in a long sequence of symbols or events. Sequence data is an important type … Continue reading
Posted in Big data, Data Mining, Data science, Pattern Mining
Tagged big data, data mining, data science, Emma, episode, episode mining, HUE-span, Minepi, pattern mining, sequential pattern, tke, utility mining
2 Comments