Archives
Categories
 Academia (33)
 artificial intelligence (6)
 Big data (41)
 Conference (19)
 Data Mining (72)
 Data science (35)
 General (38)
 Graph mining (3)
 Industry (1)
 Latex (2)
 Mathematics (2)
 Opensource (8)
 Other (2)
 Plagiarism (7)
 Programming (17)
 Research (68)
 Time series (1)
 Uncategorized (3)
 Utility Mining (5)
 Web (1)
Tag cloud
 academia
 academic wriing
 algorithm
 algorithms
 articles
 artificial intelligence
 association rules
 big data
 comparison
 conference
 data mining
 data science
 datasets
 frequent pattern mining
 frequent patterns
 graph
 highutility mining
 ilahia
 india
 itemset mining
 java
 journal
 latex
 library
 opensource
 pakdd
 paper
 pattern mining
 Ph.D.
 phd
 plagiarism
 programming
 Research
 research paper
 research papers
 review
 reviewer
 sequence
 sequential patterns
 software
 source code
 spmf
 utility mining
 visualization
 writing
Recent Comments
 Philippe FournierViger on An Introduction to Sequential Pattern Mining
 NguyenNam on An Introduction to Sequential Pattern Mining
 Erkan Er on An introduction to frequent pattern mining
 Philippe FournierViger on Six important skills to become a succesful researcher
 Elvis on Six important skills to become a succesful researcher

Recent Posts
 The future of pattern mining
 Top 10 mistakes made by young researchers
 An interview with P. FournierViger about AI and data mining
 Writing a research paper (6) – presenting data with tables
 Writing a research paper (5) – the bibliography
 Writing a research paper (4) – the introduction
 Writing a research paper (3) – the abstract
 Writing a research paper (2) – choosing a good title
 IEA AIE 2018 conference (a brief report)
 Writing a research paper (1) – keeping it simple
Number of visitors:
814872
Category Archives: Data Mining
On the Completeness of the CloSpan and IncSpan algorithms
In this blog post, I will briefly discuss the fact that the popular CloSpan algorithm for frequent sequential pattern mining is an incomplete algorithm. This means that in some special situations, CloSpan does not produce the expected results that it has been designed for, and … Continue reading
On the correctness of the FSMS algorithm for frequent subgraph mining
In this blog post, I will explain why the FSMS algorithm for frequent subgraph mining is an incorrect algorithm. I will publish this blog post because I have found that the algorithm is incorrect after spending a few days to … Continue reading
Posted in Big data, Data Mining, Graph mining
Tagged data mining, frequent subgraph, fsms, graph, graph mining, pattern mining
5 Comments
Postdoctoral positions in data mining in Shenzhen, China (apply now)
The CIID research center of the Harbin Institute of Technology (Shenzhen campus, China) is looking to hire two postdoctoral researchers to carry research on data mining / big data. The applicant must have: a Ph.D. in computer Science, a strong research background in data mining/big … Continue reading
Posted in artificial intelligence, Big data, Data Mining, Research
6 Comments
How to discover interesting patterns in data?
Discovering interesting patterns in data is often referred as data mining, data science or big data. In the last few years, I have written several blog posts providing introduction to data mining and key topics in data mining: An Introduction to … Continue reading
Posted in Big data, Data Mining, Data science, Research
Tagged big data, data mining, data science, pattern mining, survey
Leave a comment
Call for chapters: High Utility Pattern Mining, the book
CALL FOR CHAPTERS HighUtility Pattern Mining: Theory, Algorithms and Applications Editors: Philippe FournierViger, ChunWei Lin, Roger Nkambou, Bay Vo An edited book to be published by Springer in 2018 Introduction This book will provide an introduction to the high utility mining, reviews stateoftheart … Continue reading
Introduction to the Apriori algorithm (with Java code)
This blog post provides an introduction to the Apriori algorithm, a classic data mining algorithm for the problem of frequent itemset mining. Although Apriori was introduced in 1993, more than 20 years ago, Apriori remains one of the most important data mining algorithms, not … Continue reading
Posted in Big data, Data Mining, Data science, Opensource
Tagged apriori algorithm, frequent itemset, frequent pattern, itemset mining, java, source code
12 Comments
How to publish in top conferences/journals? (Part 2) – The opportunity cost of research
Many researchers wish to produce high quality papers and have a great research impact. But how? In a previous blog post, I have discussed how the “blue ocean strategy” can be applied to publish in top conference/journal. In this blog … Continue reading
The PAKDD 2017 conference (a brief report)
This week, I have attended the PAKDD 2017 conference in Jeju Island, South Korea, this week, from the 23 to 26th May. PAKDD is the top data mining conference for the asiapacific region. It is held every year in a … Continue reading
Posted in Academia, Big data, Conference, Data Mining, Data science
Tagged big data, conference, data mining, pakdd
2 Comments
This is why you should visualize your data!
In the data science and data mining communities, several practitioners are applying various algorithms on data, without attempting to visualize the data. This is a big mistake because sometimes, visualizing the data greatly helps to understand the data. Some phenomena are obvious … Continue reading
Posted in Big data, Data Mining, Data science
Tagged big data, data, data mining, data science, visualization
3 Comments
An Introduction to Sequential Pattern Mining
In this blog post, I will give an introduction to sequential pattern mining, an important data mining task with a wide range of applications from text analysis to market basket analysis. This blog post is aimed to be a short … Continue reading
Posted in Big data, Data Mining, Data science
Tagged big data, data mining, data science, frequent pattern mining, frequent patterns, pattern, sequence, sequential pattern
46 Comments