Knowledge Discovery in Database for Tourist Destinations

The knowledge discovery in database (KDD) with data mining is a useful tool for the destination management, and more hospitality enterprises and tourist destinations will adopt it in the future. Destination knowledge management requires a multidisciplinary approach and an understanding of tourism. R...

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Veröffentlicht in:Journal of travel research 2002-05, Vol.40 (4), p.374-384
Hauptverfasser: Pyo, Sungsoo, Uysal, Muzaffer, Chang, Hyesook
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container_title Journal of travel research
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creator Pyo, Sungsoo
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Chang, Hyesook
description The knowledge discovery in database (KDD) with data mining is a useful tool for the destination management, and more hospitality enterprises and tourist destinations will adopt it in the future. Destination knowledge management requires a multidisciplinary approach and an understanding of tourism. Research and information technology together are imperative to be successful in KDD and data mining. Since useful knowledge management systems must be timely, the destination knowledge discovery system can be a perpetual prototype requiring frequent updating with emphasis on speed in responses and updating. This article discusses various aspects of KDD including operational issues, applications, and data mining. In addition, a hypothetical example of the KDD is provided using Cheju Island in South Korea.
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subjects Communication
Competitive advantage
Data analysis
Data base marketing
Data mining
Data warehouses
Decision making
High performance computing
Information technology
Knowledge discovery
Knowledge management
Management decisions
Market shares
Marketing
R&D
Research & development
Software
Statistical analysis
Studies
Tourism
Tourist attractions
Travel industry
title Knowledge Discovery in Database for Tourist Destinations
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