Research of discovering high-value passengers of ai rline based on PNR data
Weidong Cao, Liang Bai, Xiaoying Nie · 2014
In the case of solving the problem of that the eval uation index of frequent flyer program is single, c annot identify high-value passengers accurately, present a method of discovering high-value passengers combines Map/R educe and data mining. Processing gigabytes of PNR data on Ha doop by Map/Reduce parallelly, according to the imp roved RFD model and analytic hierarchy process, determine the customer value indexes and the weight of each index, identify the high-value passengers by data mining, and make an experiment on a real PNR dataset. The e xperimental