基于决策树算法的电子通信网络数据流冗余消除方法  

Electronic communication network based on decision tree algorithm

作　　者：宋坚[1] SONG Jian(Fuzhou Polytechnic,Fuzhou 350108,China)

机构地区：[1]福州职业技术学院,福建福州350108

出　　处：《无线互联科技》2024年第19期1-3,共3页Wireless Internet Science and Technology

摘　　要：现有的消除方法在消除数据流冗余数据时,空间缩减比例过低,导致消除效果不理想。针对这一问题,文章引入决策树算法,设计了新的电子通信网络数据流冗余消除方法。在对电子通信网络数据进行集成处理后,文章利用决策树算法,对电子通信网络数据流进行分类。然后,结合相同类别数据的相似度计算结果,文章对数据流中的冗余数据进行了迭代消除。实验表明:应用新方法后,电子通信网络数据流空间缩减比例显著提升,说明新方法的消除效果更理想。The existing elimination methods have a low spatial reduction ratio when eliminating redundant data in data streams,resulting in unsatisfactory elimination effects.In response to this issue,the author introduces the decision tree algorithm and designs a new method for eliminating data stream redundancy in electronic communication networks.After integrating and processing electronic communication network data,the author uses decision tree algorithm to classify the electronic communication network data flow.Then,based on the similarity calculation results of data in the same category,the author iteratively eliminates redundant data in the data stream.The experiment shows that after applying the new method,the reduction ratio of data flow space in electronic communication networks is significantly improved,indicating that the elimination effect of the new method is more ideal.

关 键 词：决策树算法 冗余消除 数据流 电子通信 

分 类 号：TP536.5[自动化与计算机技术]