The Architecture of Cognition
Data mining of association structures to model consumer behaviour
Computational Statistics & Data Analysis - Nonlinear methods and data mining
Variable selection in clustering for marketing segmentation using genetic algorithms
Expert Systems with Applications: An International Journal
Mining product maps for new product development
Expert Systems with Applications: An International Journal
Using customer knowledge in designing electronic catalog
Expert Systems with Applications: An International Journal
A recommender system using GA K-means clustering in an online shopping market
Expert Systems with Applications: An International Journal
Expert Systems with Applications: An International Journal
Hi-index | 12.05 |
This study presents a position model for evaluating the image of tourists a destination. The evaluation is based on secondary data from 1999 through 2004, using a database composed of 20,023 respondents. Data are analyzed using the K-Means data mining method. Analytical results indicate that the destination image position (DIP) model is established, and four groups of visitor are identified. This study provides valuable information for tourism planners and marketing professionals attempting to develop offers that are well adapted to the needs of their target markets.