Permanent resident population analysis method based on operator network data

Abstract

The invention relates to a permanent resident population analysis method based on operator network data. According to the method, statistics is carried out on the network data of user crowds in a certain area on the basis of the collected operator network data by utilizing the main idea of an ant colony algorithm, classification is carried out on the data according to the appearance positions and time indexes of the user crowds, calculation is carried out on the results obtained through statistics and analysis the factors according to given functional transformation, the calculation result serves as a judging basis of population classification, iteration correction is carried out on the characteristic values (the permanent resident population) of the crowds, and new judging results are fed back. According to the permanent resident population analysis method based on the operator network data, the defects that an original statistical classification method is poor in regression, slow in convergence, abnormally sensitive to abnormal data, and prone to causing misjudgment and neglected judgment are overcome; the method has the advantages that the number of requested sample data is small, requirements for an initial value are not accurate, and correction can be carried out at any time according to data; the partition of the permanent resident population in the area can reflect the current situations more truly.

Description

technical field [0001] The invention belongs to the technical field of data mining and analysis, and specifically relates to a method for analyzing permanent population based on network data of operators, which can accurately determine the population classification in a certain area, that is, which is the permanent population, so that relevant departments can grasp timely, Accurate and valid data. Background technique [0002] At present, the population situation in a specific area is complicated, and the population flow is complicated. The relevant national departments often only have static information. This information is often lagging behind, not updated in time, and cannot provide good technical support for relevant decision-making. Traditional resident population analysis methods often use relatively simple models, starting from intuitive concepts. For example, it is believed that the resident population usually presents fixed data at a specific location at night, whil...

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Problems solved by technology

In addition, the traditional statistical method needs to obtain enough samples, poor regression, slow convergence, and is extremely sensitive to abnormal data, which is easy to cause misjudgment and missed judgment.

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