基于数据挖掘技术的航班延误预测综述

针对具有海量数据、高维特征的航班延误预测问题,数据挖掘技术表现出独有的优势。结合数据挖掘理论,以及航班延误预测问题的数据特征,提出延误预测的一般流程;从算法角度切入,结合相关文献对比分析五类经典数据挖掘算法在航班延误预测问题中的应用;针对预测精度和效率问题,讨论算法选择与数据处理在研究过程中的必要性;最后,结合该领域重要讲究方向与热点问题进行研究展望。

Research Review of Flight Delay Prediction Based on Data Mining Technology

It is of more significance for improving the prediction accuracy of aircraft aerodynamic performance to predict the transition position of the boundary la In order to solve the problem of flight delay prediction with high dimensional characteristics of massive data, data mining technology shows unique advantages. Combined with data mining theory and data characteristics of flight delay prediction, the general process of delay prediction is proposed. From the perspective of algorithm, the application of five classical data mining algorithms in flight delay prediction is compared and analyzed. Aiming at the problem of prediction accuracy and efficiency, the necessity of algorithm selection and data processing in the research process are discussed. Finally, combining with the important orientation and hot issues in this field, this paper makes research prospects.