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A data verification and database technology, applied in the direction of structured data retrieval, digital data processing, database design/maintenance, etc. The effect of improving accuracy and verification efficiency
Active Publication Date: 2015-03-04
银雁科技服务集团股份有限公司
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If the accuracy of the data is to be improved, developers usually need to write a separate piece of code to verify the accuracy...
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no. 1 example
[0074] Further, refer to image 3 , image 3 It is a schematic flowchart of the second embodiment of the data verification method of the present invention. Based on the above first embodiment of the data verification method of the present invention, the data verification method of this embodiment includes in the above step S20:
[0075] Step S201, according to the attribute of the data to be verified, analyze and judge whether the attribute of the data to be verified is a data attribute with preset input rules in the business process;
[0076] In various daily business processes, the program will pre-set the input rules for some data, so that the user only needs to manually check the input to complete the input and no further verification is required. For example, in the process of handling business, it is necessary to input data such as name, gender, date of birth, height, certificate type, ethnicity, education, etc., and at the same time, the input options of gender (male,...
no. 4 example
[0130] Further, refer to Figure 11 , Figure 11 It is a schematic diagram of the functional modules of the fifth embodiment of the data verification device of the present invention. Based on the fourth embodiment of the data verification device of the present invention described above, the data verification device of this embodiment further includes:
[0131] The exception processing module 90 is configured to report a verification exception notification and exit when the rule corresponding to the data type of the data to be verified cannot be formed by inheriting or combining the original data types preset in the rule database.
[0132] When the rule corresponding to the data type of the data to be verified cannot be formed by inheriting or combining the original data types preset in the rule database, the abnormality processing module 90 reports a notification message of abnormal verification, and at the same time due to the rule There is no corresponding data type in the...
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Abstract
The invention discloses a data calibration method. The data calibration method comprises the following steps of obtaining to-be-calibrated data and attributes of the to-be-calibrated data; performing preliminary analysis on the to-be-calibrated data according to the attributes of the to-be-calibrated data; determining a data type of the to-be-calibrated data according to a preliminary analysis result and a data type in a rule database; obtaining a rule of the data type of the to-be-calibrated data from the rule database; calibrating the to-be-calibrated data according to the rule of the data type of the to-be-calibrated data. The invention also discloses a data calibration device. According to the data calibration method and device, a rule for related universal various data types are collected in advance, the rule is processed and classified in a standard mode, then the rule database comprising a plurality of data types is established, calibration of the various data types can be achieved through the rule database, meanwhile complexities for data calibration work development is reduced, the maintenance workload is reduced, the data calibration accuracy rate and the calibration efficiency are improved.
Description
technical field [0001] The invention relates to the field of digital information transmission, in particular to a data verification method and device. Background technique [0002] In the context of the current big data era, big data is not just a simple quantitative concept, but it provides an opportunity to gain insight into things in new and emerging data and content, making business processing more flexible and in-depth, so as to Improve decision making, insight and process optimization. At the same time, the development of big data will inevitably bring new developments in data acquisition, integration, storage, analysis, etc., resulting in corresponding new technologies or innovatively applying existing technologies to the management and analysis of big data. At the same time, these characteristics of big data also determine that the traditional manual analysis-based work mode will encounter bottlenecks, and computer-aided analysis or computer-based intelligent analys...
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