| 基于Spark的决策树算法对航班延误预测研究 |
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| 引用本文： | 谌婧娇.基于Spark的决策树算法对航班延误预测研究[J].数字社区&智能家居,2021(4). |
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| 作者姓名： | 谌婧娇 |
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| 作者单位： | 安徽三联学院计算机工程学院 |
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| 基金项目： | 2019年安徽省高等学校省级质量工程项目“新工科建设背景下应用型软件工程人才培养模式探索”(项目编号:2019jyxm0508);2019年安徽省高等学校省级质量工程项目“软件工程教学团队”(项目编号:2019jxtd122)。 |
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| 摘 要： | 在大数据环境下,为了提高航班延误预测精确度和数据处理速度,提出基于Spark框架下处理海量数据方法。本文使用决策树算法对航班数据进行分析,预测航班的延误情况,并与使用支持向量机,Logistic回归分类算法的预测结果进行比较。结果证明决策树算法具有较高的准确率和灵敏度,表明决策树算法可以应用到航班延误预测中,给航空机构提供数据支持。
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| 关 键 词： | SPARK 航班延误预测 决策树算法 |
Prediction of Flight Delay Based on Decision Tree Algorithm of Spark |
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| CHEN Jing-jiao.Prediction of Flight Delay Based on Decision Tree Algorithm of Spark[J].Digital Community & Smart Home,2021(4). |
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| Authors: | CHEN Jing-jiao |
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| Affiliation: | (Computer Engineering College,Anhui Sanlian University,Hefei 230601,China) |
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| Abstract: | In the big data environment,in order to improve the accuracy of flight delay prediction and data processing speed,the method of processing massive data based on Spark framework was first proposed to improve the speed of big data processing.The decisiodtree algorithm is used to predict the flight delay,and the results are compared with those of SVM and logistic regression.The results show that the decision tree algorithm has high accuracy and sensitivity,which shows that the decision tree algorithm can be applied to flight delay prediction and provide data support for aviation agencies. |
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| Keywords: | Spark Flight delay prediction Decision tree algorithm |
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