Archives
Categories
- Academia (91)
- artificial intelligence (35)
- Big data (83)
- Bioinformatics (7)
- cfp (13)
- China (1)
- Chinese posts (1)
- Conference (78)
- Data Mining (190)
- Data science (107)
- Database (2)
- General (43)
- Industry (2)
- Java (13)
- Latex (12)
- Machine Learning (22)
- Mathematics (2)
- open-source (44)
- Other (4)
- Pattern Mining (94)
- Plagiarism (1)
- Programming (17)
- Research (108)
- spmf (63)
- Time series (3)
- Uncategorized (30)
- Utility Mining (23)
- Video (19)
- Website (6)
-
Recent Posts
- An EXE version of SPMF for Windows
- A First Release of SPMF-Server and SPMF-Server Clients
- CFP: Special session at SOMET 2026
- SPMF 2.65 is released!
- The Item-Itemset Matrix Viewer: a new feature in SPMF 2.65 (to be released)
- Merry X-Mas and Happy New year to SPMF users!
- The 1st HP4MoDa workshop was held at BIBM 2025
- Another release of SPMF: v2.64b
- A prototype of an improved GUI for the SPMF pattern mining software
- Upcoming in SPMF 2.64b : The “Pattern Diff Analyzer”
Recent Comments


-

-


Tag cloud
- academia
- ai
- algorithm
- apriori
- article
- artificial intelligence
- association rule
- big data
- cfp
- china
- conference
- data
- data mining
- data science
- graph
- high utility itemset mining
- icdm
- itemset
- itemset mining
- java
- journal
- latex
- machine learning
- open-source
- open source
- pakdd
- paper
- papers
- pattern
- pattern mining
- periodic pattern
- phd
- Research
- researcher
- reviewer
- sequence
- sequential pattern
- software
- spmf
- udml
- utility mining
- video
- website
- workshop
- writing
Number of visitors:
2,777,619
Author Archives: Philippe Fournier-Viger
Discovering the Top-K Stable Periodic Patterns in a Sequence of Events
In this blog post, I will give a brief introduction to the TSPIN paper about how to find stable periodic patterns in a sequence of events. This algorithm was presented in this research paper: Fournier-Viger, P., Wang Y., Yang, P., … Continue reading
Posted in Big data, Data Mining, Pattern Mining, spmf
Tagged data mining, event sequence, periodic pattern, software, spmf, stability, stable patterns, top-k patterns, tspin
Leave a comment
Data disasters and more…
Today, I will not talk about a serious topic. Recently, I have been experimenting a little bit with generative AI tools for pictures during my free time. Some services can generate some pretty nice pictures based on text prompts. For … Continue reading
Posted in Data Mining, Data science, General, Machine Learning
Leave a comment
UDML 2023 workshop!
I’m excited to announce that I am co-organizing a new edition of the Utility-Driven Mining and Learning (UDML) workshop, which will be colocated with the IEEE International Conference on Data Mining (ICDM) 2023 in Shanghai, China. The UDML workshop aims … Continue reading
Posted in Big data, Conference, Data Mining, Data science, Pattern Mining
Tagged data mining, data science, machine learning, pattern mining, udml, utility, utility learning, utility mining
Leave a comment
How to propose a special issue for a journal?
Today, I will talk about how to propose a special issue for a journal. What is a special issue? A special issue is a collection of articles on a specific topic or theme that is published in a journal. Special … Continue reading
ASCII Art for SPMF
Today, just for fun, I generated some ASCII arts for the SPMF data mining library using this tool: http://textkool.com/en/ascii-art-generator?hl=default&vl=default&font=Red%20Phoenix&text=Your%20text%20here%20 I think the result is not bad but I am not sure if I would use it: _____ _____ __ __ … Continue reading
Posted in spmf
Leave a comment
Efficiency problems with using java.util.Hashmap
Today, I will talk about some efficiency problems when using the java.util.Hashmap data structure provided by Java. This is an important topics for programmers that aim at implementing efficient software that rely on maps. Brief review about HashMap First, let’s … Continue reading
Posted in Java, Programming
Tagged complexity, efficiency, efficiency problems, hashmap, implementation, java, map, memory, performance, programming, time
Leave a comment
SPMF’s architecture (5) The Graphical User Interface
This is the fifth post of a series of blog posts about the architecture of the SPMF data mining library. Today, I will specifically talk about the graphical user interface of SPMF, its main components and how it interacts with … Continue reading
Posted in Data Mining, Data science, Java, open-source, spmf
Tagged architecture, data mining, data science, graphical user interface, gui, java, open source, pattern mining, software, spmf
Leave a comment
SPMF 3.0: Towards even more efficiency
In this blog post, I will talk about the future of SPMF. I do this once in a while. Today, I will discuss on the performance of SPMF. Performance A main focus of SPMF is and has always been efficiency … Continue reading
Posted in Big data, Data Mining, Data science, Java, open-source, spmf
Tagged data mining, data science, software, spmf
Leave a comment
SPMF’s architecture (4) The MemoryLogger
Today, I will continue the series of blog posts to explain the architecture of the SPMF data mining library, and I will talk in particular about a module in SPMF called the MemoryLogger. This module is responsible for recording the … Continue reading
Posted in Data Mining, Data science, open-source, Pattern Mining, spmf
Tagged data mining, data science, GPL, java, open source, pattern mining, software, spmf
Leave a comment