Electronic communication network based on decision tree algorithm
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.
decision tree algorithmredundancy eliminationdata flowelectronic communication
万方数据
维普
