- Titel
- Exploration by Confidence
- Zitierfähige Url:
- https://nbn-resolving.org/urn:nbn:de:bsz:14-qucosa2-795363
- Schriftenreihe
- LTCS-Report
- Bandnummer
- 13-04
- Erstveröffentlichung
- 2013
- DOI
- https://doi.org/10.25368/2022.194
- Abstract (EN)
- Within formal concept analysis, attribute exploration is a powerful tool to semiautomatically check data for completeness with respect to a given domain. However, the classical formulation of attribute exploration does not take into account possible errors which are present in the initial data. We present in this work a generalization of attribute exploration based on the notion of confidence, which will allow for the exploration of implications which are not necessarily valid in the initial data, but instead enjoy a minimal confidence therein.
- Freie Schlagwörter (DE)
- formale Begriffsanalyse, klassische Formel, Beschreibungslogik
- Freie Schlagwörter (EN)
- formal concept analysis, classical formula, description logic
- Klassifikation (DDC)
- 004
- Klassifikation (RVK)
- ST 136
- Publizierende Institution
- Technische Universität Dresden, Dresden
- Version / Begutachtungsstatus
- angenommene Version / Postprint / Autorenversion
- URN Qucosa
- urn:nbn:de:bsz:14-qucosa2-795363
- Veröffentlichungsdatum Qucosa
- 20.06.2022
- Dokumenttyp
- Bericht
- Sprache des Dokumentes
- Englisch
- Lizenz / Rechtehinweis
CC BY 4.0