- AutorIn
- Alexey A. Neznanov
- Dmitry A. Ilvovsky
- Sergei O. Kuznetsov
- Titel
- FCART: A New FCA-based System for Data Analysis and Knowledge Discovery
- Zitierfähige Url:
- https://nbn-resolving.org/urn:nbn:de:bsz:14-qucosa-113161
- Quellenangabe
- Cellier, Peggy, Distel, Felix und Ganter, Bernhard (Hrsg.): Contributions to the 11th International Conference on Formal Concept Analysis, 2013, S. 65-78
- Quellenangabe
- Contributions to the 11th International Conference on Formal Concept Analysis
- Abstract (EN)
- We introduce a new software system called Formal Concept Analysis Research Toolbox (FCART). Our goal is to create a universal integrated environment for knowledge and data engineers. FCART is constructed upon an iterative data analysis methodology and provides a built-in set of research tools based on Formal Concept Analysis techniques for working with object-attribute data representations. The provided toolset allows for the fast integration of extensions on several levels: from internal scripts to plugins. FCART was successfully applied in several data mining and knowledge discovery tasks. Examples of applying the system in medicine and criminal investigations are considered.
- Freie Schlagwörter (DE)
- Datenanalyse, Formale Begriffsanalyse, Wissensgewinnung
- Freie Schlagwörter (EN)
- Data Analysis, Formal Concept Analysis, Knowledge Discovery, Software
- Klassifikation (DDC)
- 004
- Klassifikation (RVK)
- ST 136, ST 304
- Publizierende Institution
- Technische Universität Dresden, Dresden
- URN Qucosa
- urn:nbn:de:bsz:14-qucosa-113161
- Veröffentlichungsdatum Qucosa
- 28.05.2013
- Dokumenttyp
- Konferenzbeitrag
- Sprache des Dokumentes
- Englisch
- Lizenz / Rechtehinweis