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Knowledge Discovery for Tourism Using Data Mining and Qualitative Analysis
International Journal of Asian Business and Information Management
This paper aims to propose a new guideline for analyzing tourist profiles as found in www.tripadvisor.com. These have been examined from two different aspects so as to gain conclusive results. Tourist data were "crawled" from tripadvisor.com through a specific web crawler. Mining techniques using a combination of visualization, clustering, and association rules were instrumental in discovering the first set of interesting knowledge. This was followed by a qualitative analysis applied throughdoi:10.4018/ijabim.2014100105 fatcat:guvxrpz2orer3eu63ormw3ivo4