Archives
Categories
 Academia (17)
 artificial intelligence (4)
 Big data (32)
 Conference (13)
 Data Mining (61)
 Data science (27)
 General (29)
 Graph mining (2)
 Mathematics (2)
 Opensource (7)
 Plagiarism (3)
 Programming (15)
 Research (53)
 Time series (1)
 Utility Mining (3)
Tag cloud
 academia
 algorithm
 algorithms
 articles
 association rules
 big data
 comparison
 conference
 data mining
 data science
 datasets
 frequent pattern mining
 frequent patterns
 graph
 highutility mining
 ilahia
 internet
 itemset mining
 java
 journal
 library
 M.Sc.
 opensource
 pakdd
 paper
 papers
 pattern mining
 Ph.D.
 phd
 plagiarism
 programmer
 programming
 publications
 Research
 research advisor
 research papers
 sequence
 sequential patterns
 software
 source code
 spmf
 thesis topic
 visualization
 website
 writing
Recent Comments
 Dang Nguyen on On the correctness of the FSMS algorithm for frequent subgraph mining
 Philippe FournierViger on The ontology book by Kerry Taylor that was never published
 me on The ontology book by Kerry Taylor that was never published
 Philippe FournierViger on Introduction to clustering: the KMeans algorithm (with Java code)
 Sourav Das on Introduction to clustering: the KMeans algorithm (with Java code)

Recent Posts
 IEEE and its language polishing service
 On the correctness of the FSMS algorithm for frequent subgraph mining
 The ontology book by Kerry Taylor that was never published
 Brief report about the WICON 2017 conference
 Postdoctoral positions in data mining in Shenzhen, China (apply now)
 How to discover interesting patterns in data?
 Call for chapters: High Utility Pattern Mining, the book
 Introduction to the Apriori algorithm (with Java code)
 Do not link to impact factors, they will censor you!
 How to publish in top conferences/journals? (Part 2) – The opportunity cost of research
Number of visitors:
714276
Category Archives: Big data
Introduction to clustering: the KMeans algorithm (with Java code)
In this blog post, I will introduce the popular data mining task of clustering (also called cluster analysis). I will explain what is the goal of clustering, and then introduce the popular KMeans algorithm with an example. Moreover, I will briefly explain how an opensource Java implementation of … Continue reading
Posted in Big data, Data Mining, Data science, Opensource
Tagged clustering, data mining, data science, java, kmeans, opensource, spmf
8 Comments
Introduction to time series mining with SPMF
This blog post briefly explain how time series data mining can be performed with the Java opensource data mining library SPMF (v.2.06). It first explain what is a time series and then discuss how data mining can be performed on time series. What is … Continue reading
Posted in Big data, Data Mining, Opensource, Time series
Tagged big data, data mining, data science, java, opensource, pattern mining, SAX algorithm, spmf, time series
2 Comments
The KDDCup 2015 dataset
The KDD cup 2015 dataset is about MOOC dropout prediction. I have had recently found that the dataset had been offline on the official website. Thus, I have uploaded a copy of the KDD cup 2015 dataset on my website. You can download … Continue reading
Posted in Big data, Data Mining, Data science, Research
Leave a comment
Discovering hidden patterns in texts using SPMF
This tutorial will explain how to analyze text documents to discover complex and hidden relationships between words. We will illustrate this with a Sherlock Holmes novel. Moreover we will explain how hidden patterns in text can be used to recognize the author of a … Continue reading
Posted in Big data, Data Mining, Data science, Opensource
10 Comments
Brief report about the Dexa 2016 and Dawak 2016 conferences
This week, I have been attending the DEXA 2016 and DAWAK 2016 conferences, in Porto, Portugal, from the 4th to 8th September 2016, to present three papers. In this blog post, I will give a brief report about these conferences. About these … Continue reading
Posted in Big data, Conference, Data Mining, Research
2 Comments
Brief report about the MLDM 2016 Conference (12th International Conference on Machine Learning and Data Mining conference)
In this blog post, I will provide a brief report about the 12th Intern. Conference on Machine Learning and Data Mining (MLDM 2016), that I have attended from the 18th to 20th July 2016 in Newark, USA. About the conference This is the 12th edition … Continue reading
Posted in Big data, Conference, Data Mining, Data science
1 Comment
Brief report about the 16th Industrial Conference on Data mining 2016 (ICDM 2016)
In this blog post, I will provide a brief report about the 16th Industrial Conference on Data mining 2016, that I have attended from the 13 to 14 July 2016 in Newark, USA. About the conference The Industrial Conference on Data Mining is an … Continue reading
Posted in Big data, Conference, Data Mining
3 Comments
The top journals and conferences in data mining / data science
A key question for data mining and data science researchers is to know what are the top journals and conferences in the field, since it is always best to publish in the most popular journals or conferences. In this blog post, … Continue reading
Posted in Big data, Data Mining, Data science, Research
3 Comments
An introduction to periodic pattern mining
In this blog post I will give an introduction to the discovery of periodic patterns in data. Mining periodic patterns is an important data mining task as patterns may periodically appear in all kinds of data, and it may be desirable to find them … Continue reading
Posted in Big data, Data Mining, Data science, Opensource, Research, Utility Mining
3 Comments
Fulltime faculty positions at Harbin Institute of Technology (data mining, statistics, psychology, design…)
Fulltime faculty positions at Harbin Institute of Technology Shenzhen Graduate School, Shenzhen, China The Center of Innovative Industrial Design is currently looking to hire fulltime faculty members at the rank of assistant professor, associate professor or professor, with expertise in … Continue reading