DTAI Projects
FWO: Principes van het ontginnen van patroonverzamelingen
Period: 01-2009 → 12-2012
Subgroup: ml
Type: project
Members:
- Luc De Raedt
- Siegfried Nijssen
In this project, we propose to develop and study general techniques to mining sets of patterns directly. Such pattern sets should contain only high quality patterns that are of direct interest to the user and her application. As such the project constitutes an attempt to answer one of the most important open research questions of the field of pattern mining according to Jiawei Han [2007], one of the most prominent researchers in the field who describes this as follows: “We feel the bottleneck of frequent pattern mining is not on whether we can derive the complete set of frequent patterns under certain constraints efficiently but on whether we can derive a compact but high quality set of patterns that are most useful in applications. The set of frequent patterns derived by most of the current pattern mining methods is too huge for effective usage. [… ] Much research is still needed to substantially reduce the size of derived pattern sets and enhance the quality of retained patterns.”
By developing pattern set mining techniques, we hope to answer this question, and to lift pattern mining techniques from the local to the global level, which in turn should contribute to a better understanding of the role of pattern mining techniques in data mining and machine learning.
← return to the projects
