Study on information classification of tourism emergency events

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Study on information classification of tourism emergency events

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  • DOI:  10.1049/cp:20080750
  • ISBN: 978 0 86341 921 8
  • Location: Beijing, China
  • Conference date: 26-28 Sept. 2008
  • Format: PDF
In this paper, we expound the significance of information classification of tourism emergency events for prediction, adopt naive Bayes algorithm based on k-means clustering algorithm to make classification on the tourism information that can be used for prediction of emergency events, pre- process the data and obtain better classification results of the tourism information that can be used for prediction of emergency events.

Inspec keywords: travel industry; classification

Subjects: Information analysis and indexing; Administration of other service industries

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