Title :
Data Mining in Personalized Travel Information System
Author :
Hsu, Li-Fu ; Hsu, Chiun-Chieh ; Lin, Tsau-Duan
Author_Institution :
Dept. of Inf. Manage., Hwh Hsia Inst. of Technol., Taipei, Taiwan
Abstract :
Information retrieval is the most popular database technology, which is focusing on data analysis, association rules, pattern discovery and so on. It is critical to find efficient ways of mining large data sets. In this paper we present a Personalized Travel Information System, called PTIS. PTIS can automatically link to the travel sites to collect information, and then create new data rules. According the rules to provides valuable information for tourism to make travel plan. In addition, we also evaluate the impact of parameters on the algorithm.
Keywords :
data analysis; data mining; information retrieval; pattern clustering; personal information systems; travel industry; association rule; data analysis; data mining; database technology; information retrieval; pattern discovery; personalized travel information system; tourism; travel site; Airplanes; Association rules; Business; Clustering algorithms; Information systems; Web sites;
Conference_Titel :
Information Technology Convergence and Services (ITCS), 2010 2nd International Conference on
Conference_Location :
Cebu
Print_ISBN :
978-1-4244-7584-1
Electronic_ISBN :
978-1-4244-7584-1
DOI :
10.1109/ITCS.2010.5581285
