STUDY ON INFORMATION CLASSIFICATION OF TOURISM EMERGENCY EVENTS

摘要：

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, preprocess the data and obtain better classification results of the tourism information that can be used for prediction of emergency events.

关键词： Tourism Emergency event Classification

作者: Junping Du Su Wang

作者单位: Beijing Key Lab of Intelligent Telecommunication Software and Multimedia, School of Computer Science, Beijing University of Posts and Telecommunications, Beijing 100876, China

会议类型: 国际会议

会议名称: China-Ireland International Conference on Information and Communications Technologies 2008(2008 中国-爱尔兰信息与通信技术国际会议 CIICT 2008)

会议地点: 北京

会议语种:英文

页码: 1-4

在线出版日期: 2008-09-26（万方平台首次上网日期，不代表论文的发表时间）