Abstract
Within the pattern mining area, skypatterns enable to express a user-preference point of view according to the domination relation. In this paper, we deal with the introduction of softness in the skypattern mining problem. We show how softness can provide convenient patterns that would be missed otherwise. Then, thanks to Constraint Programming, we propose an efficient method to mine skypatterns as well as soft ones. Finally, we show the relevance of our approach through a case study in chemoinformatics for discovering toxicophores.
| Translated title of the contribution | Discovery of soft-skypatterns with constraint programming approach |
|---|---|
| Original language | French |
| Pages (from-to) | 217-228 |
| Number of pages | 12 |
| Journal | Revue des Nouvelles Technologies de l'Information |
| Volume | E.24 |
| State | Published - 2013 |
| Externally published | Yes |
| Event | 13emes Journees Francophones sur l'Extraction et la Gestion des Connaissances, EGC 2013 - 13th French-Speaking Conference on Knowledge Discovery and Management, EGC 2013 - Toulouse, France Duration: 29 Jan 2013 → 1 Feb 2013 |
Fingerprint
Dive into the research topics of 'Discovery of soft-skypatterns with constraint programming approach'. Together they form a unique fingerprint.Cite this
- APA
- Author
- BIBTEX
- Harvard
- Standard
- RIS
- Vancouver