TY - JOUR
AU - Chang, Hyesook
AB - 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.
TI - Knowledge Discovery in Database for Tourist Destinations
JF - Journal of Travel Research
DO - 10.1177/0047287502040004006
DA - 2002-05-01
UR - https://www.deepdyve.com/lp/sage/knowledge-discovery-in-database-for-tourist-destinations-NLtVZI8z4k
SP - 374
EP - 384
VL - 40
IS - 4
DP - DeepDyve
ER -