- Tytuł:
- Knowledge discovery in data using formal concept analysis and random projections
- Autorzy:
- Aswani Kumar, Ch.
- Powiązania:
- https://bibliotekanauki.pl/articles/930145.pdf
- Data publikacji:
- 2011
- Wydawca:
- Uniwersytet Zielonogórski. Oficyna Wydawnicza
- Tematy:
-
redukcja wymiarowości
odkrywanie wiedzy
projekcja losowa
attribute implications
concept lattices
dimensionality reduction
formal concept analysis
knowledge discovery
random projections - Opis:
- In this paper our objective is to propose a random projections based formal concept analysis for knowledge discovery in data. We demonstrate the implementation of the proposed method on two real world healthcare datasets. Formal Concept Analysis (FCA) is a mathematical framework that offers a conceptual knowledge representation through hierarchical conceptual structures called concept lattices. However, during the design of a concept lattice, complexity plays a major role.
- Źródło:
-
International Journal of Applied Mathematics and Computer Science; 2011, 21, 4; 745-756
1641-876X
2083-8492 - Pojawia się w:
- International Journal of Applied Mathematics and Computer Science
- Dostawca treści:
- Biblioteka Nauki
Artykuł