利用决策树实现海上无线通信中的数据分类

Using decision tree to realize data classification in maritime wireless communication

船舶各智能电子设备不断增多,基于无线数据通信的各类业务得到了大范围应用,信号传输的好坏直接关系到各业务的质量。同时,不同的业务对通信网络的要求不同,海上无线通信资源有限,如何对业务数据进行分类并合理分配通信资源是实现海上各类电子业务正常运转的关键。决策树是一种基于预测模型的数据分类方法,能快速实现属性及对象映射关系。本文在研究现有的决策树模型的基础上,按照海上数据特点利用决策树实现了通信资源的数据分类。

With the increase of the ship' s intelligent electronic devices,the application of various types of business based on wireless data communication has a wide range of applications. The signal transmission is directly related to the quality of the business. At the same time, different business requirements of the communication network is different,sea wireless communication resources are limited,how to classify the business data and reasonable distribution of communication resources is the key to achieve the normal operation of all kinds of electronic business at sea. Decision tree is a data classification method based on prediction model,which can quickly realize the mapping relationship between attributes and objects. In this paper, based on the existing decision tree model, the data classification of communication resources is realized according to the characteristics of marine data.