Tag Archives: data mining

DSSBA 2023, 2nd Special Session on Data Science for Social and Behavioral Analytics @DSAA

I am excited to announce that the 2nd Special Session on Data Science for Social and Behavioral Analytics (DSSBA 2023) will be held at the 10th IEEE International Conference on Data Science and Advanced Analytics (IEEE DSAA 2023) from October … Continue reading

Posted in cfp, Conference, Data Mining, Data science | Tagged , , , , , , , , , | Leave a comment

Discovering the Top-K Stable Periodic Patterns in a Sequence of Events

In this blog post, I will give a brief introduction to the TSPIN paper about how to find stable periodic patterns in a sequence of events. This algorithm was presented in this research paper: Fournier-Viger, P., Wang Y., Yang, P., … Continue reading

Posted in Big data, Data Mining, Pattern Mining, spmf | Tagged , , , , , , , , | Leave a comment

UDML 2023 workshop!

I’m excited to announce that I am co-organizing a new edition of the Utility-Driven Mining and Learning (UDML) workshop, which will be colocated with the IEEE International Conference on Data Mining (ICDM) 2023 in Shanghai, China. The UDML workshop aims … Continue reading

Posted in Big data, Conference, Data Mining, Data science, Pattern Mining | Tagged , , , , , , , | Leave a comment

SPMF’s architecture (5) The Graphical User Interface

This is the fifth post of a series of blog posts about the architecture of the SPMF data mining library. Today, I will specifically talk about the graphical user interface of SPMF, its main components and how it interacts with … Continue reading

Posted in Data Mining, Data science, Java, open-source, spmf | Tagged , , , , , , , , , | Leave a comment

SPMF 3.0: Towards even more efficiency

In this blog post, I will talk about the future of SPMF. I do this once in a while. Today, I will discuss on the performance of SPMF. Performance A main focus of SPMF is and has always been efficiency … Continue reading

Posted in Big data, Data Mining, Data science, Java, open-source, spmf | Tagged , , , | Leave a comment

SPMF’s architecture (4) The MemoryLogger

Today, I will continue the series of blog posts to explain the architecture of the SPMF data mining library, and I will talk in particular about a module in SPMF called the MemoryLogger. This module is responsible for recording the … Continue reading

Posted in Data Mining, Data science, open-source, Pattern Mining, spmf | Tagged , , , , , , , | Leave a comment

SPMF’s architecture (3) The Preference Manager

This is the third of a series of blog posts about the architecture of the SPMF data mining library. Today, I will explain the role of another an internal module in SPMF, called the Preference Manager. This module is used … Continue reading

Posted in Data Mining, Data science, Java, open-source, Pattern Mining, spmf | Tagged , , , , , , | Leave a comment

SPMF’s architecture (2) The Main class and the Command Processor

In this blog post, I will continue explaining the architecture of the SPMF data mining library. In the previous post, I have introduced a key component of SPMF called the Algorithm Manager, which manages all the algorithms offered in SPMF. … Continue reading

Posted in Data Mining, Data science, open-source, spmf | Tagged , , , , , , , , | 1 Comment

SPMF’s architecture (1) The Algorithm Manager

In this new series of blog posts, I will talk about the architecture of the SPMF data mining library, and in particular, I will talk about the AlgorithmManager, which is a key component of SPMF, which manages all the algorithms … Continue reading

Posted in Data Mining, Data science, Java, open-source, Pattern Mining | Tagged , , , , , , , , , | 2 Comments

How to call SPMF from Visual Basic .Net (VB)?

Today, I will explain how to use SPMF from Visual Basic .Net. Previously, I have explained how to call SPMF from C#, from R, from C++ (on Windows) and from Python. Requirements Let me first describe the requirements. It is … Continue reading

Posted in Data Mining, Data science, Pattern Mining, spmf | Tagged , , , , , , , , , | Leave a comment