Studies in mining personalized travel information of traveler
Kai Cao · Journal of Shandong University of Technology · 2011
In view of traveler differences in individual needs and a case of a traveler,the travel information of travelers was quantitatively analyzed and their various individual travel requirements were summarized through mining laws of traveling information and generating the classification decision tree and the association rules with Weka analysis platform.Thus,the classification results of travel information were obtained by classification analysis,the correlation among individual travel information was obtained by correlation analysis,and the relative aggregation of travel information was presented by cluster analysis.