Archives
Categories
- Academia (91)
- artificial intelligence (35)
- Big data (83)
- Bioinformatics (6)
- cfp (12)
- China (1)
- Chinese posts (1)
- Conference (76)
- Data Mining (189)
- Data science (107)
- Database (2)
- General (43)
- Industry (2)
- Java (12)
- Latex (12)
- Machine Learning (22)
- Mathematics (2)
- open-source (42)
- Other (3)
- Pattern Mining (91)
- Plagiarism (1)
- Programming (17)
- Research (108)
- spmf (59)
- Time series (3)
- Uncategorized (23)
- Utility Mining (23)
- Video (19)
- Website (6)
-
Recent Posts
- Fixing the reviewresponse.cls LaTeX Class to Allow Multi-Page Comments
- How to fix reviewresponse.cls for custom reviewer numbering
- The Conference Hotel Booking Scam
- Huge traffic from a botnet looking for datasets
- New version of SPMF: 2.63!
- Upcoming feature of SPMF 2.63: Taxonomy Viewer
- CFP: The OCSA 2025 conference
- Update on SPMF next version: the visual pattern viewer
- CFP: HP4MoDa 2025 @ IEEE BIBM 2025
- An Improved Pattern Viewer
Recent Comments
- Philippe Fournier-Viger on What is a Closed Itemset and Why is it Useful?
- Philippe Fournier-Viger on An Improved Pattern Viewer
- Bairavi Balaguru on What is a Closed Itemset and Why is it Useful?
- Kushal P. Birla on An Improved Pattern Viewer
- Kushal P. Birla on An Improved Pattern Viewer


-

-


Tag cloud
- academia
- ai
- algorithm
- apriori
- article
- artificial intelligence
- association rule
- big data
- cfp
- china
- conference
- data
- data mining
- data science
- episode
- graph
- high utility itemset mining
- icdm
- itemset
- itemset mining
- java
- journal
- latex
- machine learning
- open-source
- open source
- pakdd
- paper
- papers
- pattern mining
- periodic pattern
- phd
- Research
- researcher
- reviewer
- sequence
- sequential pattern
- software
- spmf
- udml
- utility mining
- video
- website
- workshop
- writing
Number of visitors:
2,413,268
Category Archives: Data Mining
Top 5 Data Mining Books for Computer Scientists
I have often been asked what are some good books for learning data mining. In this blog post, I will answer this question by discussing some of the top data mining books for learning data mining and data science from a computer science perspective. … Continue reading
Posted in Data Mining, Research
3 Comments
The SPMF data mining library: a brief history and what’s next?
In this blog post, I will talk about the well-known open-source library of data mining algorithms implemented in Java, which I am the founder of. I will give a brief overview of its history, discuss some lessons learned from the development of … Continue reading
Posted in Data Mining, open-source, Programming, Research, spmf
Tagged data mining, library, open-source, spmf
Leave a comment
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
33 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
4 Comments
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
99 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
Leave a comment
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
6 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
3 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