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

fYear

2010

fDate

11-13 Aug. 2010

Firstpage

1

Lastpage

4

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;

fLanguage

English

Publisher

ieee

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

Type

conf

DOI

10.1109/ITCS.2010.5581285

Filename

5581285