Terminal model characteristic data cleaning system and cleaning method

Abstract

The invention discloses a terminal model characteristic data cleaning system and cleaning method. The method comprises the following steps: S1, collecting message information generated when terminal equipment surfs the Internet and issuing the message information; S2, receiving the message information, obtaining features capable of representing the model of the terminal equipment from the messageinformation, and cleaning the features to form terminal model feature data; S3, discovering effective features in the terminal model feature data and determining the effectiveness of the effective features; S4, adjusting the terminal model characteristic data, and supplementing the terminal model characteristic data; S5, performing feature rule verification and feature validity verification on thefinally obtained terminal model feature data. According to the method, the feature extraction process is greatly simplified, excessive manual participation is avoided, manpower resources in enterprises are saved, and the feature data processing efficiency is remarkably improved.

Description

technical field [0001] The present invention relates to a data cleaning system and a corresponding cleaning method, in particular to a terminal model characteristic data cleaning system and cleaning method used in the terminal big data analysis process, belonging to the field of data analysis technology. Background technique [0002] In recent years, with the continuous development of network communication technology, all kinds of intelligent and functional network terminals have been rapidly promoted, and the interactive access and information processing between terminals and platforms, terminals and terminals has become increasingly frequent. Against such a technical background, more and more Internet companies have begun to pay attention to the issue of network access strategies, expecting to realize identification and access to terminal devices in a more efficient and accurate manner. [0003] As the basis of various network access strategies, terminal model identificati...

AI Technical Summary

Problems solved by technology

However, in the actual operation process, the shortcomings of the existing operation are also very obvious

When the model feature carries a unique identifier and there is no separator between them, the feature information is easily ignored and buried; when the model feature itself contains a separator, it is easy to cause the problem of excessive segmentation and interference features

Moreover, the process of manually determining the validity of model features is very complicated, and the efficiency of operation is extremely low

Images