-
Recent Posts
- 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
- Plagiarism by K. Raghu Naga Dhareswararao, T. Kishore
- The PAKDD 2017 conference (a brief report)
- Plagiarism by Bhawna Mallick and Kriti Raj at Galgotias College of Engineering & Technology
- How to publish in top conferences/journals? (Part 1) – The Blue Ocean Strategy
- This is why you should visualize your data!
Categories
- Academia (14)
- artificial intelligence (4)
- Big data (31)
- Conference (13)
- Data Mining (60)
- Data science (27)
- General (28)
- Mathematics (2)
- Open-source (7)
- Plagiarism (3)
- Programming (15)
- Research (52)
- 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 high-utility mining ilahia internet itemset mining java journal library M.Sc. open-source 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 writingArchives
Recent Comments
- Philippe Fournier-Viger on An Introduction to Sequential Pattern Mining
- Philippe Fournier-Viger on Introduction to the Apriori algorithm (with Java code)
- Greg on Introduction to the Apriori algorithm (with Java code)
- Chang-Ho Lee on An Introduction to Sequential Pattern Mining
- Philippe Fournier-Viger on How to publish in top conferences/journals? (Part 1) – The Blue Ocean Strategy
Number of visitors:
656595
Tag Archives: graph
An introduction to frequent subgraph mining
In this blog post, I will give an introduction to an interesting data mining task called frequent subgraph mining, which consists of discovering interesting patterns in graphs. This task is important since data is naturally represented as graph in many domains (e.g. … Continue reading
Posted in Big data, Data Mining, Data science
Tagged algorithm, big data, data mining, data science, frequent subgraphs, graph, pattern mining
12 Comments
Discovering and visualizing sequential patterns in web log data using SPMF and GraphViz
Today, I will show how to use the open-source SPMF data mining software to discover sequential patterns in web log data. Then, I will show to how visualize the frequent sequential patterns found, using GraphViz. Step 1 : getting the … Continue reading
Posted in Big data, Data Mining, Data science, Programming
Tagged data mining, graph, patterns, sequential patterns, spmf, visualization
8 Comments