Data Analysis System and Method

Abstract

The present invention provides a data analysis system and method, using a third-party data platform, intelligent face recognition and sign-in terminal, data access server, data analysis server and other systems, based on room type data, combined with water and electricity consumption, Takeaway situation, access control situation, and house registration situation are the four dimensions, establish the relationship with the target households, and combine historical data with the cross-entropy loss function of logistic regression, iterate weight parameters and intercept parameters, and automatically obtain accurate data analysis As a result, the target households were found in a timely manner. Compared with the traditional "door-to-door visits and public reports", the coverage rate is higher and the accuracy is better, and the households will not be disturbed by false reports.

Description

technical field [0001] The invention relates to the technical fields of data statistics and computer software, in particular to a data analysis system and method. Background technique [0002] With the rapid development of China's social economy and the acceleration of urbanization, more and more people have flowed into metropolises headed by Shanghai. With the rapid increase of population, more and more challenges have been brought to urban security management, such as The uneven rental environment, multi-level marketing activities in the community, and the use of rental houses to participate in gambling, etc., have brought more and more safety hazards to residential communities, and have potential risks to social security including surrounding residents. [0003] At present, streets, communities, and the government are also aware of related problems, and have increased the identification, monitoring, and disposal of the above-mentioned phenomena through some means. Howeve...

AI Technical Summary

Problems solved by technology

[0002] With the rapid development of China's social economy and the acceleration of urbanization, more and more people have flowed into metropolises headed by Shanghai. With the rapid increase of population, more and more challenges have been brought to urban security management, such as The uneven rental environment, pyramid selling activities in the community, and gambling by borrowing rental properties have brought more and more hidden dangers to residential areas, and pose potential risks to social security, including surrounding residents.

[0003] At present, streets, communities, and the government are also aware of related problems, and have increased the identification, monitoring, and disposal of the above-mentioned phenomena through some means. However, due to the labor costs and the protection of citizens’ privacy rights, the efficiency and recognition rate of the target households have not achieved considerable results. The result is that although a lot of manpower is consumed, coverage However, the range is still limited and the accuracy rate is not high

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