- Tytuł:
-
Podejście wielomodelowe analizy danych symbolicznych w ocenie pozycji produktów na rynku
Ensemble learning for symbolic datain product positioning - Autorzy:
- Pełka, Marcin
- Powiązania:
- https://bibliotekanauki.pl/articles/424929.pdf
- Data publikacji:
- 2013
- Wydawca:
- Wydawnictwo Uniwersytetu Ekonomicznego we Wrocławiu
- Tematy:
-
ensemble clustering
cluster analysis of symbolic data
product positioning - Opis:
- Product positioning is a wide range of business activities. Positioning is the process by which marketers try to create an image or identity in the minds of their target market for its product, brand, or organization. The main aim of the paper is to preset and apply ensemble learning for symbolic data in cluster analysis in order to evaluate a product position. Empirical part of the paper presents the application of co-occurrence matrix and bagging algorithm in ensemble learning for symbolic data (car market data was used). These two approaches reached almost the same results when considering adjusted Rand index.
- Źródło:
-
Econometrics. Ekonometria. Advances in Applied Data Analytics; 2013, 2(40); 95-102
1507-3866 - Pojawia się w:
- Econometrics. Ekonometria. Advances in Applied Data Analytics
- Dostawca treści:
- Biblioteka Nauki
Artykuł