Information data model analysis method

Abstract

The invention discloses an information data model analysis method, which belongs to the technical field of data processing. The information data model analysis method comprises the following steps: generating a corresponding analysis scene and an analysis result according to case-related basic information, selecting a target analysis result, and generating a target analysis task list; acquiring to-be-analyzed data by using a database querier, preprocessing the acquired data to generate intermediate data, establishing a query model, and storing the intermediate data and the query model in a memory; and reading the corresponding analysis models from the algorithm library one by one according to the analysis task list, calling an analysis execution module to analyze the data in the referencedmemory according to strategy trees of the analysis models to generate data features, and storing and displaying the data features on a graphical interface. According to the invention, the problems oflarge time consumption and large workload of case handling personnel due to multiple rounds of analysis, data deviation and repeated work of information analysis of information data such as bank bills, telephone bills, tracks, tax receipts and the like in the existing case handling process are solved.

Description

technical field [0001] The invention belongs to the technical field of data processing, and relates to an intelligence data model analysis method. Background technique [0002] At present, the amount of information such as bank bills, phone bills, whereabouts, tax invoices and other information collected by public security organs, procuratorial organs, and disciplinary committees is huge, often reaching the level of tens of millions of data. During the analysis process, the case handlers divide the data into multiple groups, assign them manually, and use various file editors, such as Excel, to compare them one by one, find the target data according to the data characteristics, form group analysis conclusions, and then summarize the various data characteristics , so multiple rounds of analysis are required for the original data; and in the group analysis, improper data segmentation often leads to deviations in the analysis of key feature data, and the phenomenon of merging mu...

AI Technical Summary

Problems solved by technology

[0004] The purpose of the present invention is to provide an intelligence data model analysis method, which solves the problem of multiple rounds of analysis, data deviation, and work duplication in the information analysis of intelligence data such as bank bills, bills, whereabouts, and tax invoices in the existing case handling process. , leading to the problem of large time consumption and heavy workload of case handlers

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