摘要
民航领域存在由于旅客noshow而导致座位虚耗问题,从而直接影响航空公司的收益。准确提取旅客noshow规则、分析noshow行为,是航空公司提高市场竞争力的有效手段。本文研究并分析noshow规则提取算法相关研究成果,讨论此领域的各种数据挖掘算法,为航司实现noshow精细化管理提供辅助决策技术。
In the field of civil aviation,there is a problem of seat depletion caused by the passenger noshow behavior,which directly affects the revenue of airlines.It is an effective way for airlines to improve their market competitiveness to accurately extract the rules of noshow and analyze the passenger noshow behavior.This paper studies and analyzes the related research results of the algorithm of noshow rule extraction,discusses various data mining algorithms in this field,and provides auxiliary decision-making technology for airlines to realize the refined management of noshow.
作者
赵烜
ZHAO Xuan(School of Mathematics,Shandong University,Jinan Shandong 250100)
出处
《数字技术与应用》
2020年第5期119-120,共2页
Digital Technology & Application
基金
山东大学数学学院机器学习研究项目。