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Data processing method based on frequent item set mining

A frequent item set mining and data processing technology, applied in the field of data query statistics, can solve the problems of single query and inability to obtain frequent item query results from time series data, so as to achieve the effect of convenient acquisition and avoiding manual operation to query and sort historical data

Inactive Publication Date: 2015-12-16
ANHUI XINHUABO INFORMATION TECH
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AI Technical Summary

Problems solved by technology

[0003] Existing historical data frequent mode queries are based on manual mode, and the query results can be obtained by single query or jointly specifying several fields, and it is impossible to obtain frequent item query results for time series data

Method used

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  • Data processing method based on frequent item set mining

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Embodiment Construction

[0028] The following will clearly and completely describe the technical solutions in the embodiments of the present invention with reference to the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are only some, not all, embodiments of the present invention. Based on the embodiments of the present invention, all other embodiments obtained by persons of ordinary skill in the art without creative efforts fall within the protection scope of the present invention.

[0029] Such as figure 1 As shown, the embodiment of the present invention provides a data processing method based on frequent itemset mining, which includes the following steps:

[0030] Obtain multiple historical data tables, and extract data tables with value fields from each of the historical data tables;

[0031] Obtain a time series data table and a non-time series data table in the data table with a value field;

[0032] Segment the time series data table a...

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Abstract

The present invention provides a data processing method based on frequent item set mining, which comprises the following steps of: acquiring a plurality of items of historical data tables and extracting data tables with value fields; acquiring time sequence data tables and non-time sequence data tables from the data tables with the value fields; carrying out segmentation on the time sequence data tables and carrying out cleaning on the non-time sequence data tables to obtain initial shopping basket data; merging a plurality of data tables in the initial shopping basket data to obtain merged shopping basket data; and respectively carrying out frequent item set mining on the initial shopping basket data and the merged shopping basket data to obtain a frequent item result with a designated support degree. According to the data processing method based on frequent item set mining, historical data is subjected to frequent item set mining to obtain the frequent item set support degree of each historical data table, frequent data in a random dimension can be inquired and the data processing method is convenient for an analyst to acquire the data; and meanwhile, the time sequence data is segmented, which is convenient for the analyst to inquire related data according to a time tag.

Description

technical field [0001] The invention relates to the field of data query statistics, in particular to a method for acquiring the frequency of occurrence of various historical fields based on frequent item set mining. Background technique [0002] With the development of data mining technology and the development of public security business, the traditional data query statistics function no longer meets the needs of public security business. In order to obtain the available knowledge and value that frequently appear in historical data, the current processing method is The frequency with which a history field occurs. Manual statistical query to find out the frequency of occurrence of various conditions, etc. [0003] The existing frequent pattern query of historical data is based on manual mode, and the query results can be obtained by single query or jointly specifying several fields, and it is impossible to obtain frequent item query results for time series data. Contents ...

Claims

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Application Information

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IPC IPC(8): G06F17/30
CPCG06F16/215G06F16/2453G06F16/2455
Inventor 任新华刘业政杜飞崔春向士庭
Owner ANHUI XINHUABO INFORMATION TECH
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