Journal ArticleDOI
Rough Clustering of Destination Image Data Using an Evolutionary Algorithm
TLDR
The article describes the template, the data structure used to describe rough clusters, and provides an overview of the evolutionary algorithm used to develop viable cluster solutions, consisting of an optimal number of templates, which provide easily interpreted descriptions of the clusters.Abstract:
This article describes a hybrid computational intelligence technique, an evolutionary algorithm based rough clustering algorithm. The technique of cluster analysis is fundamental in traditional data analysis and data mining, and is used to group similar objects together. Many clustering methods have been identified, including the commonly used k-means approach, which is dependent on initial starting points and requires the number of clusters to be specified in advance. The rough clustering algorithm described in this article is able to overcome these limitations. Rough clusters are defined in a similar manner to the rough set concept developed by Pawlak—that is, using a lower and upper approximation. This allows for multiple cluster membership for objects in the data set. The lower approximation of a rough cluster contains objects that only belong to that cluster. The upper approximation of a rough cluster contains objects that belong to more than one cluster. The article describes the template, ...read more
Citations
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Journal ArticleDOI
Destination image: a meta-analysis of 2000-2007 research.
TL;DR: A comprehensive review of conceptual and empirical research on destination image published between January 2000 and October 2007 is provided with the aim of identifying current and emerging trends in the area of destination image studies.
Journal ArticleDOI
Identifying changes and trends in Hong Kong outbound tourism
TL;DR: In this article, a new approach that extends the capability of the association rules technique to contrast targeted association rules with the aim of capturing the changes and trends in outbound tourism is presented.
Journal ArticleDOI
Positioning and clustering of the world’s top tourist destinations by means of dimensionality reduction techniques for categorical data
Oscar Claveria,Alessio Poluzzi +1 more
TL;DR: In this paper, a study aims to cluster the world's top tourist destinations based on the growth of the main tourism indicators over the period between 2000 and 2010, and ranks the destinations with respect to the average growth rate over the sample period.
Journal ArticleDOI
Tourism-Receiving Countries in Connotative Google Space
TL;DR: Visualizing the destination countries’ similarity in terms of Web-projected connotative profiles highlights one aspect of competitive threat.
Journal ArticleDOI
Positioning emerging tourism markets using tourism and economic indicators
TL;DR: In this paper, the authors focus on the interactions between tourism and economic variables in twenty emerging markets and provide a descriptive analysis and rank the countries according to their percentage average annual growth in relation to a set of economic and tourism indicators during the last decade.
References
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Journal ArticleDOI
A review on the application of evolutionary computation to information retrieval
TL;DR: In this contribution, different proposals found in the specialized literature for the application of evolutionary computation to the field of information retrieval will be reviewed and the specific existing approaches will be specifically described for some of these problems.
Journal ArticleDOI
The development of a destination through the image assessment of six geographic markets
TL;DR: In this article, the authors assess the image of a newly developed nature-based tourist destination and investigate the influence of distance on image of the destination using an internet survey with 610 respondents and a 45 percent response rate of the log-in panelists.
Journal ArticleDOI
Rough set approach to case-based reasoning application
Chun-Che Huang,Tzu Liang Tseng +1 more
TL;DR: An Extensible Markup Language-based representation formulated with the Zachman framework is proposed in this paper and through a rough set based approach, case-based reasoning becomes more efficient and complexity of computation of the similarity testing is significantly reduced.
Book ChapterDOI
Regularity analysis and its applications in data mining
Sinh Hoa Nguyen,Sinh Hoa Nguyen +1 more
TL;DR: This Chapter proposes a certain framework for approximating concepts and presents also the applications of data regularity to three basic problems of data mining: classification, data description and data decomposition.
Journal ArticleDOI
Integrating group Delphi, fuzzy logic and expert systems for marketing strategy development: the hybridisation and its effectiveness
TL;DR: It is concluded that the hybrid approach is more effective in terms of decision confidence, group consensus, helping to understand strategic factors, helping strategic thinking, and coupling analysis with judgement, etc.
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