A data analysis method for the space-time location service of missing persons
A positioning service and data analysis technology, applied in the field of data analysis, can solve problems such as the location evaluation of individual sales cases, and achieve high-precision results
Active Publication Date: 2021-07-09
CHINA UNIV OF GEOSCIENCES (WUHAN)
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This research is an analysis of the illegal adoption network of the population from a macro scale, which effectively explains the overall situation of the transfer path of the missing persons. Suggest
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[0042] In order to have a clearer understanding of the technical features, purposes and effects of the present invention, the specific implementation manners of the present invention will now be described in detail with reference to the accompanying drawings.
[0043] A data analysis method for the space-time positioning service of missing people, such as figure 1 shown, including:
[0044] S1. Construct an initial data set based on existing missing persons data;
[0045] Missing person data includes at least the missing person's gender, height, date of birth, date of disappearance, description of missing location, and description of arrival location. The initial data set includes at least the missing person's gender, height, date of birth, date of disappearance, description of missing location, and description of arrival location. The essence of the construction process is to add the corresponding content in the above missing persons data to the corresponding fields of the ...
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The present invention provides a data analysis method for the space-time positioning service of missing persons, including: constructing an initial data set through existing missing persons data; performing data screening and preprocessing on the data in the initial data set, and extracting The index of the sample data set is obtained; the data in the sample data set is further classified and classified, and the classification label is obtained to obtain the hypothesis space group used for model construction; each hypothesis space in the hypothesis space group is passed in, and each independent prediction is constructed Model; according to the result accuracy of each independent prediction model, a comprehensive prediction model is created based on statistical methods, which can give a list of cities where the missing person may arrive and the probability of the corresponding city. Using this model, it is only necessary to provide the gender, height, date of birth, date of disappearance and description of the missing location of the missing person, and the city where the missing person may arrive can be known, which can provide help in finding the missing person.
Description
technical field [0001] The invention relates to the technical field of data analysis, in particular to a data analysis method for space-time positioning service for missing people. Background technique [0002] The artificial intelligence community believes that machine learning is one of the branches that best embodies intelligence in the field of artificial intelligence. It is dedicated to the study of how to use experience to improve the performance of the system itself by means of calculation. The main content of the study of machine learning is about algorithms on computers that generate models from data. Feed it empirical data, and it can generate models from these data. When faced with new situations, the model can provide corresponding judgments. [0003] Random forest is a common type of machine learning method, which is a classifier that contains multiple decision trees. Its advantages are: for unbalanced classification data sets, it can balance errors; for man...
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IPC IPC(8): G06F16/29G06K9/62G06Q10/04
CPCG06F16/29G06Q10/04G06F18/214G06F18/29
Inventor 姚尧刘一飞
Owner CHINA UNIV OF GEOSCIENCES (WUHAN)