文章基本信息

标题：On-Time Flight Departure Prediction System Using Naive Bayes Classification Method (Case Study: XYZ Airline)
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作者：Andi Nugroho ; Rizki Ali Fahmi
期刊名称：International Journal of Computer Trends and Technology
电子版ISSN：2231-2803
出版年度：2017
卷号：54
期号：1
页码：4-10
DOI：10.14445/22312803/IJCTT-V54P102
出版社：Seventh Sense Research Group
摘要：On Time Performance (OTP) is an important aspect for flight service user and provider. OTP is one of factors that affect positive or negative assessment of flight service. But sometimes, there are some obstacles happened that require the airlines to experience delay. Lack of information about delay prediction causes the airlines could not prepare the solution to avoid the delay problem. To overcome the problem, it requires a departure on time prediction system. In this research, the writer tries to apply Naive Baye Classification to create on time prediction system that can be used by the airlines to prepare more for the possibilities that can be happened in the future.
关键词：on time performance; Delay; Naive Bayes