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Warning situation prediction method and warning situation prediction system based on Apriori algorithm

A police situation prediction and police situation technology, applied in the field of police situation prediction, can solve the problems of reducing regional security and stability, and not being able to achieve good prevention, so as to achieve the effect of strengthening patrol prevention and control and reducing the occurrence of police situations

Inactive Publication Date: 2016-04-13
ANHUI RUIXIN SOFTWARE CO LTD
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Problems solved by technology

[0004] In the existing technology, there is no prediction mechanism for the alarm situation. Only when the alarm situation occurs, can it be dealt with. For the police situation, it cannot be well prevented. In the past, after the police situation occurred, it was an afterthought. Analysis and judgment, the passive police mode will reduce the security and stability of the region

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  • Warning situation prediction method and warning situation prediction system based on Apriori algorithm
  • Warning situation prediction method and warning situation prediction system based on Apriori algorithm
  • Warning situation prediction method and warning situation prediction system based on Apriori algorithm

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Embodiment Construction

[0032] Specific embodiments of the present invention will be described in detail below in conjunction with the accompanying drawings. It should be understood that the specific embodiments described here are only used to illustrate and explain the present invention, and are not intended to limit the present invention.

[0033] The present invention provides a kind of police situation prediction method based on Apriori algorithm, and this method comprises:

[0034] Step 1, carry out hidden data mining on the alarm occurrence data through the Apriori algorithm, and obtain the association rules between each data;

[0035] Step 2, modeling the association rules to obtain a sequence model and a function expression;

[0036] Step 3: Obtain the predicted case incidence rate according to the sequence model of the police situation that occurred, and bring it into the function expression to obtain the function model.

[0037] The occurrence of things has its chance, but also its inevit...

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Abstract

The invention discloses a warning situation prediction method and a warning situation prediction system based on an Apriori algorithm. The method comprises the following steps of: performing hidden data mining for warning situation happening data through the Apriori algorithm, obtaining an association rule among the data, and modeling for the association rule to obtain a sequence model and a function expression; step 2, obtaining a predicted case occurrence rate for the happened warning situation according to the sequence model, and substituting into the function expression to obtain a function model. The warning situation prediction method and the warning situation prediction system based on the Apriori algorithm overcome a mode of often analyzing, studying and judging after the warning situation happens and passively disposing the warning situation in the past, and realize prediction of the warning situation.

Description

technical field [0001] The present invention relates to the field of police forecasting, in particular to a police forecasting method based on the Apriori algorithm and a system for forecasting polices using the method. Background technique [0002] Data mining is a new technology that discovers and extracts hidden information from large databases or data warehouses, and has received extensive attention in the fields of artificial intelligence and databases. The discovery of association rules is an important research branch of data mining. The goal of association rule discovery is to determine the relationship between item sets (attributes) in the database. These association rules discovered from a large number of transaction records can help people make decisions. [0003] Among all association rule mining algorithms, the famous algorithm is the Apriori algorithm proposed by R.Agrawal (Agrawal) et al. in 1993. This algorithm is the most influential algorithm for mining Bo...

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06Q10/04
CPCG06Q10/04
Inventor 刁吉水
Owner ANHUI RUIXIN SOFTWARE CO LTD
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