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
Key words
decision tree algorithm/redundancy elimination/data flow/electronic communication
维普
万方数据