A Method of Resident Population Analysis Based on Carrier Network Data
An operator network and analysis method technology, applied in the field of resident population analysis based on operator network data, can solve problems such as poor regression, easy to cause misjudgment, abnormally sensitive abnormal data, etc., and achieve the effect of less sample data
Active Publication Date: 2018-05-15
SHANGHAI ZAIDE INFORMATION SCI & TECH
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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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[0014] Such as figure 1 Shown is a schematic diagram of the principle of the resident population analysis method based on operator network data provided by the present invention, and the analysis method includes the following steps:
[0015] Step A: Obtain the initial data in the designated area from the census information and the community population information held by the police station;
[0016] Step B: Obtain historical data and real-time data from the operator. The content of the data includes the collection number, collection time, and collection location; the granularity of data collection (generally 2 hours). The more data, the more accurate the judgment basis;
[0017] Step C: Classify according to the location and time of user data, and perform repeated iterative matching analysis on operator data and initial data through a given function transformation, so that the original data can be divided into two categories. Definitely, the other type is abnormal data, that ...
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The present invention relates to a permanent population analysis method based on network data of operators. It applies the main idea of ant colony algorithm on the basis of collected network data of operators to make statistics on the network data of user groups in a certain area, and according to its The location and time indicators of appearance are classified, and the results obtained by the statistical analysis of the above factors are calculated through the given function transformation, and it is used as a basis for judging the population classification, so as to iteratively correct the characteristic value of the population (resident population) , and return the new evaluation result. The present invention overcomes the shortcomings of poor regression and slow convergence of the original statistical classification method, and is extremely sensitive to abnormal data, which may easily cause misjudgment and missed judgment; the required sample data is small, and the initial value is not accurate, and it can be performed according to the data at any time. Modified features; make the division of permanent population in the region more realistically reflect the status quo.
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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IPC IPC(8): G06F17/30G06Q50/26
Inventor 高向友段仕勇樊伟健陆洋麟
Owner SHANGHAI ZAIDE INFORMATION SCI & TECH