Abnormal data identification method and device
A technology of abnormal data and identification method, applied in the field of data analysis, can solve problems such as the inability to meet the demands of financial institutions for early warning, in-process monitoring and post-event analysis, and achieve the effect of improving the accuracy rate
Pending Publication Date: 2022-07-01
光大科技有限公司
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[0008] The embodiment of the present invention provides a method and device for identifying abnormal data, so as to at least solve the problems in related technologies that cannot meet the requirements of financial institutions for early warning, in-process monitoring, and post-event analysis
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[0039] Hereinafter, embodiments of the present invention will be described in detail with reference to the accompanying drawings and in conjunction with the embodiments.
[0040] It should be noted that the terms "first", "second" and the like in the description and claims of the present invention and the above drawings are used to distinguish similar objects, and are not necessarily used to describe a specific sequence or sequence.
[0041] The method embodiments provided in the embodiments of this application may be executed in a mobile terminal, a computer terminal, or a similar computing device. Take running on a computer terminal as an example, figure 2 It is a hardware structural block diagram of a computer terminal running the abnormal data identification method according to the embodiment of the present invention. like figure 2 As shown, the computer terminal may include one or more ( figure 2 Only one is shown) processor 202 (the processor 202 may include, but i...
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The embodiment of the invention provides an abnormal data identification method and device. The method comprises the steps of analyzing and processing log data to obtain log data distribution structure characteristics; constructing an abnormal data stripping model based on the log data distribution structure characteristics; and separating abnormal data from a specified data set based on the abnormal data stripping model. According to the method and the device, the data distribution model is adopted to analyze the log data, then the stripping model is utilized to divide the log data, and then the abnormal data divided from the log data is subjected to targeted analysis, so that the analysis efficiency is improved. According to the method and the device, the problem that the demands of early warning, in-event monitoring and after-event analysis on the abnormal financial behaviors cannot be met in the related technology can be solved, and the effect of improving the accuracy of financial abnormal behavior recognition is achieved.
Description
technical field [0001] Embodiments of the present invention relate to the field of data analysis, and in particular, to a method and device for identifying abnormal data. Background technique [0002] With the advent of the era of big data, data analysis, processing and identification technologies are also widely used in various fields, such as anti-tax evasion in the financial field. [0003] figure 1 It is a flow chart of the existing anti-tax evasion and other behavior identification methods, such as figure 1 As shown, the technical solution mainly includes the following three steps: [0004] 1. Log data organization. Financial transactions between the public are completed through commercial banks or other financial institutions. During the process of capital transfer, commercial banks will record transaction information such as customer information, transaction time, and transaction amount on both sides of the transaction to form basic log data. [0005] 2. Identify ...
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IPC IPC(8): G06K9/62G06Q40/04
CPCG06Q40/04G06F18/24147
Inventor 孙亚东蔚晨谭咏茂李璠丁永建黄时光向小佳吴海洋张荣臻
Owner 光大科技有限公司