Archives
Categories
 Academia (51)
 artificial intelligence (20)
 Big data (54)
 cfp (4)
 Conference (44)
 Data Mining (104)
 Data science (52)
 General (35)
 Industry (1)
 Interview (1)
 Machine Learning (3)
 Mathematics (2)
 opensource (9)
 Pattern Mining (20)
 Plagiarism (6)
 Programming (16)
 Research (88)
 Time series (2)
 Uncategorized (14)
 Utility Mining (7)
 Video (10)
 Website (1)

Recent Posts
 If I would do a PhD again, what would I do differently?
 Analyzing COVID19 tweets to understand the public opinion
 Discovering Alarm Correlation Rules for Network Fault Management (video)
 Merry Christmas and Happy New Year!
 Conference Badges: the Best and the Worst
 Real Conferences VS Virtual Conferences
 The 10 most cited papers in our “Data Science and Pattern Recognition” journal!
 How to prepare your thesis defense?
 A Brief Report about the IEEE ICDM 2020 Conference
 Is it a good to change research area?
Recent Comments
 Philippe FournierViger on Big problem on my website on IONOS webhosting!
 Brendan Vail on Big problem on my website on IONOS webhosting!
 Report about the ICGEC 2018 conference  The Data Mining Blog on An introduction to periodic pattern mining
 Philippe FournierViger on How to answer reviewers for a journal paper revision?
 Philippe FournierViger 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
 highutility mining
 high utility itemset mining
 icdm
 ieaaie
 itemset mining
 java
 journal
 machine learning
 opensource
 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:
1,938,056
Tag Archives: algorithms
The importance of constraints in data mining
Today, I will discuss an important concept in data mining which is the use of constraints. Data mining is a broad field incorporating many different kind of techniques for discovering unexpected and new knowledge from data. Some main data mining … Continue reading
How to characterize and compare data mining algorithms?
Hi, today, I will discuss how to compare data mining algorithms. This is an important question for data mining researchers who want to evaluate which algorithm is “better” in general or for a given situation. This question is also important … Continue reading
Posted in Data Mining, Programming, Research
Tagged algorithms, characteristics, classification, comparison, data mining, evaluation
7 Comments
A Map of Data Mining Algorithms (offered in SPMF v092c)
Hi, I have made a map to visualize the relationship between the 52 different data mining algorithms offered in the SPMF data mining software. You can view it in PNG format by clicking on the picture below: Or you can … Continue reading
Posted in Data Mining, Programming
Tagged algorithms, data mining, java, map, opensource, spmf
2 Comments
How to become a good data mining programmer?
In this post, I will discuss what it takes to be a good data mining programmer and how to become one. Data mining is a broad field that can be approached from several angles. Some people with a mathematical background will … Continue reading
Posted in Data Mining, Programming
Tagged algorithms, data mining, programmer, programming
8 Comments
Why it is important to publish source code and datasets for researchers?
Today, I will discuss about why it is important that researchers share their source code and data. As some of you know, I’m working on the design of data mining algorithms. More specifically, I’m working on algorithms for discovering patterns … Continue reading
Posted in Research
Tagged algorithms, data mining, datasets, opensource, Research, software, source code
2 Comments