Exploring How Customers Shop for Meat Products

Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F62156489%3A43110%2F14%3A00213758" target="_blank" >RIV/62156489:43110/14:00213758 - isvavai.cz</a>
Result on the web
—
DOI - Digital Object Identifier
—

Result language
angličtina
Original language name
Exploring How Customers Shop for Meat Products
Original language description
This contribution contains problems of marketing research data classification by means of data mining algorithms. Three basic methods are described, classification with the aid of Multi-layer Perceptron neural network with Back-propagation algorithm, classification with the aid of Bayesian Networks and classification with the aid of Decision Tree. Finally, applicability of these algorithms is compared. These algorithms are applied over the data from a survey about consumer behavior in the food market inthe Czech Republic (n = 1127, data collection in 2011). The data were further analyzed with statistical tools, such as cluster analysis and analysis of contingency. The best achieved result was 42.65% by method LMT. Although this level may seem to be relatively low, due to the fact that also the dependencies between individual 20 factors and the 5 possible store loyalty options revealed by analysis of contingency were not strong, this result shows that the tools can reach relatively hig
Czech name
—
Czech description
—

Publication year
2014
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Article name in the collection
Recent Advances in Economics, Management and Marketing
ISBN
978-960-474-364-3
ISSN
—
e-ISSN
—
Number of pages
5
Pages from-to
50-54
Publisher name
WSEAS Press
Place of publication
Cambridge, MA, USA
Event location
Cambridge, MA, USA
Event date
Jan 1, 2014
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
—

Similar results(10)