Archives
Categories
- Academia (46)
- artificial intelligence (19)
- Big data (53)
- cfp (3)
- Conference (42)
- Data Mining (102)
- Data science (49)
- General (31)
- Industry (1)
- Interview (1)
- Machine Learning (2)
- Mathematics (2)
- open-source (9)
- Pattern Mining (20)
- Plagiarism (6)
- Programming (16)
- Research (85)
- Time series (2)
- Uncategorized (14)
- Utility Mining (7)
- Video (9)
- Website (1)
-
Recent Posts
- A Brief Report about the IEEE ICDM 2020 Conference
- Is it a good to change research area?
- How to write the cover letter for a journal paper?
- How to find a good thesis topic in Machine Learning?
- Brief Report about the PKDD 2020 conference
- Why it takes so long for a journal paper to be reviewed?
- CFP: IKEDS 2021 @ IEA AIE 2021 – Special Session on Intelligent Knowledge Engineering in Decision Making
- (video) Top-K Cross-Level High Utility Itemset Mining
- CFP about “AI in healthcare” (AIH2021 @ IEA AIE 2021)
- More problems on IONOS web hosting… 4 days of downtime!
Recent Comments
- Philippe Fournier-Viger on On the correctness of the FSMS algorithm for frequent subgraph mining
- A Brief Report about the IEEE ICDM 2020 Conference | The Data Mining Blog on Expensive Academic Conferences – the case of ICDM
- Philippe Fournier-Viger on Brief Report about the PKDD 2020 conference
- Philippe Fournier-Viger on Why it takes so long for a journal paper to be reviewed?
- Philippe Fournier-Viger on Six important skills to become a succesful researcher
Tag cloud
- academia
- ai
- algorithm
- algorithms
- article
- articles
- artificial intelligence
- asia
- big data
- china
- conference
- data
- data mining
- data science
- frequent pattern mining
- frequent patterns
- high-utility mining
- high utility itemset mining
- icdm
- ieaaie
- itemset mining
- java
- journal
- machine learning
- open-source
- pakdd
- paper
- papers
- pattern mining
- periodic pattern
- phd
- plagiarism
- programming
- Research
- researcher
- research paper
- review
- reviewer
- sequence
- software
- spmf
- utility mining
- video
- workshop
- writing
Number of visitors:
1,926,142
Tag Archives: data science
The PAKDD 2020 conference (a brief report)
In this report, I will talk about the 24th Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD 2020), from the 11th to 14th May 2020. The PAKDD conference PAKDD is a top international conference on data mining / big data in the Pacific-Asia part of the world. … Continue reading
Posted in Conference, Data Mining, Data science
Tagged conference, data mining, data science, pakdd
Leave a comment
(Video) Sequence prediction with the CPT and CPT+ Models
Today, I presents the CPT and CPT+ sequence prediction models in a video. Sequence prediction is an important task in data mining which consists of predicting the next symbols of a sequence. It can be used for example to predict the next word that someone will … Continue reading
Correlation does not imply causation
There is a well known principle in statistics that correlation does not imply causation. It means that even if we observe that two variables behave in the same way, we should not conclude that the behavior of one of those variables … Continue reading
Posted in Big data, Data Mining, Data science
Tagged causation, correlation, data, data analysis, data mining, data science
Leave a comment
(video) Mining Frequent Itemsets with the Apriori algorithm
This is a video presentation of the Apriori algorithm for discovering frequent itemsets in data. Frequent itemset mining is one of the most popular data mining task. VIDEO LINK: http://www.philippe-fournier-viger.com/spmf/videos/apriori.mp4 The Java source code of the Apriori algorithm and datasets for evaluating its performance are available in the SPMF software. If you want … Continue reading
Posted in Data Mining, Data science, Pattern Mining, Video
Tagged algorithm, apriori, big data, data mining, data science, frequent pattern mining, frequent patterns, video
Leave a comment
Interview with Prof. Rage Uday Kiran about Data Mining
Today, I have the pleasure to interview Rage Uday Kiran researcher at the National Institute of Informatics in Tokyo, Japan. R. Uday Kiran is an Indian researcher who has been working in Japan for several years. He has been active mainly in the field of data mining, and … Continue reading
Posted in Data Mining, Data science, Interview, Pattern Mining
Tagged data mining, data science, pattern mining, periodic pattern
Leave a comment
The best data mining mailing lists (for researchers)
Today, I will list a few useful mailing lists related to data mining and big data. Subscribing to these mailing list is useful for PhD students and researchers, as many jobs, conferences, special issues and other opportunities are advertised on these mailing lists. It is … Continue reading
Posted in Big data, Data Mining, Data science
Tagged big data, data, data mining, data science, machine learning, mailing list, Research
Leave a comment
Analyzing the source code of SPMF (5 years later)
Five years ago, I had analyzed the source code of the SPMF data mining software using an open-source tool called CodeAnalyzer ( http://sourceforge.net/projects/codeanalyze-gpl/ ). This had provided some interesting insights about the structure of the project, especially in terms of lines of codes and code to … Continue reading
Posted in Data Mining, Data science, open-source
Tagged data analysis, data mining, data science, open source, software, spmf
Leave a comment
(video) Mining Sequential Rules with RuleGrowth
This is a video presentation of the paper “Mining Partially-Ordered Sequential Rules Common to Multiple Sequences” about discovering sequential rules in sequences using the RuleGrowth algorithm. VIDEO LINK: http://www.philippe-fournier-viger.com/spmf/videos/rulegrowth.mp4 More information about the RuleGrowth algorithm are provided in this research paper: Fournier-Viger, P., Wu, C.-W., Tseng, V.S., Cao, L., Nkambou, R. (2015). Mining Partially-Ordered Sequential Rules Common to Multiple … Continue reading
Posted in Big data, Data Mining, Pattern Mining
Tagged data mining, data science, pattern mining, sequence, sequential rule
Leave a comment
(video) Minimal Correlated High Utility Itemsets with FCHM
This is a video presentation of the paper “Mining Correlated High-Utility Itemsets Using the bond Measure” about correlated high utility pattern mining using FCHM. VIDEO LINK: http://www.philippe-fournier-viger.com/spmf/videos/FCHM_correlated_itemsets.mp4 More information about the FCHM algorithm are provided in this research paper: Fournier-Viger, P., Zhang, Y., Lin, J. C.-W., … Continue reading
Posted in Big data, Data Mining, Data science, Video
Tagged big data, data, data science, high utility itemset, high utility mining, pattern mining
Leave a comment
Introduction to frequent subranking mining
Rankings are made in many fields, as we naturally tend to rank objects, persons or things, in different contexts. For example, in a singing or a sport competition, some judges will rank participants from worst to best and give prizes to … Continue reading
Posted in Big data, Data Mining, Data science, Pattern Mining
Tagged data, data mining, data science, pattern, sequential pattern
Leave a comment