Archives
Categories
 Academia (37)
 artificial intelligence (6)
 Big data (47)
 Conference (22)
 Data Mining (77)
 Data science (40)
 General (40)
 Graph mining (3)
 Industry (2)
 Latex (2)
 Mathematics (2)
 Mobile technology (1)
 Opensource (8)
 Other (2)
 Pattern Mining (1)
 Plagiarism (7)
 Programming (17)
 Research (69)
 Time series (2)
 Uncategorized (2)
 Utility Mining (6)
 Web (2)
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
 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
 time series
 utility mining
 visualization
 writing
Recent Comments
 Philippe FournierViger on Introduction to clustering: the KMeans algorithm (with Java code)
 Expensive Academic Conferences  The Data Mining BlogThe Data Mining Blog on Report about the KDD 2018 conference
 Philippe FournierViger on Six important skills to become a succesful researcher
 Harshali on How to choose a good thesis topic in Data Mining?
 Claudi on Six important skills to become a succesful researcher

Recent Posts
 Expensive Academic Conferences – the case of ICDM
 Periodic patterns in Web log time series
 Upcoming book: High Utility Itemset Mining: Theory, Algorithms and Applications
 What I don’t like about academia
 News about the data mining blog
 Report about the DEXA 2018 and DAWAK 2018 conferences
 China lead in mobile payment and services
 Report about the KDD 2018 conference
 A Model for Football Pass Prediction (source code + dataset)
 The future of pattern mining
Number of visitors:
840019Top 5 most popular posts
Tag Archives: itemset mining
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
14 Comments
An Introduction to HighUtility Itemset Mining
In this blog post, I will give an introduction about a popular problem in data mining, which is called “highutility 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, highutility mining, itemset mining, java, opensource, source code, spmf, utility mining
121 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
2 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
An introduction to frequent pattern mining
In this blog post, I will give a brief overview of an important subfield of data mining that is called pattern mining. Pattern mining consists of using/developing data mining algorithms to discover interesting, unexpected and useful patterns in databases. Pattern … Continue reading
Posted in Big data, Data Mining, Data science, Research
Tagged association rule, itemset, itemset mining, pattern mining, sequential patterns
19 Comments
How to autoadjust the minimum support threshold according to the data size
Today, I will do a quick post on how to automatically adjust the minimum support threshold of frequent pattern mining algorithms such as Apriori, FPGrowth and PrefixSpan according to the size of the data. The problem is simple. Let’s consider … Continue reading
Posted in Data Mining, Programming
Tagged apriori, fpgrowth, frequent pattern mining, itemset mining, minsup, prefixspan
61 Comments