- Tytuł:
- Ant-based clustering for flow graph mining
- Autorzy:
-
Lewicki, Arkadiusz
Pancerz, Krzysztof - Powiązania:
- https://bibliotekanauki.pl/articles/330782.pdf
- Data publikacji:
- 2020
- Wydawca:
- Uniwersytet Zielonogórski. Oficyna Wydawnicza
- Tematy:
-
possibly certain sequences
flow graph
rough set
fuzzy set
ant based clustering
graf przepływu danych
zbiór przybliżony
zbiór rozmyty - Opis:
- The paper is devoted to the problem of mining graph data. The goal of this process is to discover possibly certain sequences appearing in data. Both rough set flow graphs and fuzzy flow graphs are used to represent sequences of items originally arranged in tables representing information systems. Information systems are considered in the Pawlak sense, as knowledge representation systems. In the paper, an approach involving ant based clustering is proposed. We show that ant based clustering can be used not only for building possible large groups of similar objects, but also to build larger structures (in our case, sequences) of objects to obtain or preserve the desired properties.
- Źródło:
-
International Journal of Applied Mathematics and Computer Science; 2020, 30, 3; 561-572
1641-876X
2083-8492 - Pojawia się w:
- International Journal of Applied Mathematics and Computer Science
- Dostawca treści:
- Biblioteka Nauki
Artykuł