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 |
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container_title | Journal of travel research |
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creator | Pyo, Sungsoo Uysal, Muzaffer 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. |
doi_str_mv | 10.1177/0047287502040004006 |
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In addition, a hypothetical example of the KDD is provided using Cheju Island in South Korea.</description><subject>Communication</subject><subject>Competitive advantage</subject><subject>Data analysis</subject><subject>Data base marketing</subject><subject>Data mining</subject><subject>Data warehouses</subject><subject>Decision making</subject><subject>High performance computing</subject><subject>Information technology</subject><subject>Knowledge discovery</subject><subject>Knowledge management</subject><subject>Management decisions</subject><subject>Market shares</subject><subject>Marketing</subject><subject>R&D</subject><subject>Research & development</subject><subject>Software</subject><subject>Statistical analysis</subject><subject>Studies</subject><subject>Tourism</subject><subject>Tourist attractions</subject><subject>Travel industry</subject><issn>0047-2875</issn><issn>1552-6763</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2002</creationdate><recordtype>article</recordtype><recordid>eNp9kE9LAzEQxYMoWKufwMvifXUmyW7So7T-w4KXel6SzaRsqZuabBW_vVkqeBEPw8Dwe28ej7FLhGtEpW4ApOJaVcBBAoxTH7EJVhUva1WLYzYZiXJETtlZSpsMoRQ4Yfq5D59bcmsqFl1qwwfFr6Lri4UZjDWJCh9isQr72KWhWFAaut4MXejTOTvxZpvo4mdP2ev93Wr-WC5fHp7mt8uy5QKGshLknHd1TVg7YSs5Q0XcoPTO21YppytyhK4Fb4k7mw8oNFhorZppocWUXR18dzG873OAZpPT9Pllw1FJqaXkGRIHqI0hpUi-2cXuzcSvBqEZG2r-aCir4KBKZk2_tv9JvgEpq2YG</recordid><startdate>200205</startdate><enddate>200205</enddate><creator>Pyo, Sungsoo</creator><creator>Uysal, Muzaffer</creator><creator>Chang, Hyesook</creator><general>SAGE Publications</general><general>SAGE PUBLICATIONS, INC</general><scope>AAYXX</scope><scope>CITATION</scope></search><sort><creationdate>200205</creationdate><title>Knowledge Discovery in Database for Tourist Destinations</title><author>Pyo, Sungsoo ; Uysal, Muzaffer ; Chang, Hyesook</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c230t-53eddfd66e16d3b54917e2a14fdfbc77d85ede1dc0fbe2db7d81380b0cb798383</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2002</creationdate><topic>Communication</topic><topic>Competitive advantage</topic><topic>Data analysis</topic><topic>Data base marketing</topic><topic>Data mining</topic><topic>Data warehouses</topic><topic>Decision making</topic><topic>High performance computing</topic><topic>Information technology</topic><topic>Knowledge discovery</topic><topic>Knowledge management</topic><topic>Management decisions</topic><topic>Market shares</topic><topic>Marketing</topic><topic>R&D</topic><topic>Research & development</topic><topic>Software</topic><topic>Statistical analysis</topic><topic>Studies</topic><topic>Tourism</topic><topic>Tourist attractions</topic><topic>Travel industry</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Pyo, Sungsoo</creatorcontrib><creatorcontrib>Uysal, Muzaffer</creatorcontrib><creatorcontrib>Chang, Hyesook</creatorcontrib><collection>CrossRef</collection><jtitle>Journal of travel research</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Pyo, Sungsoo</au><au>Uysal, Muzaffer</au><au>Chang, Hyesook</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Knowledge Discovery in Database for Tourist Destinations</atitle><jtitle>Journal of travel research</jtitle><date>2002-05</date><risdate>2002</risdate><volume>40</volume><issue>4</issue><spage>374</spage><epage>384</epage><pages>374-384</pages><issn>0047-2875</issn><eissn>1552-6763</eissn><abstract>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. 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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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