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Data detection method and data detection device

A technology for detecting data and sample data, applied in the field of data processing, can solve problems such as low accuracy of verification results, and achieve the effect of solving low accuracy, accuracy and legitimacy, and ensuring accuracy.

Inactive Publication Date: 2017-03-08
ALIBABA GRP HLDG LTD
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0005] The embodiment of the present application provides a method and device for detecting data, so as to at least solve the technical problem of low accuracy of the verification result when verifying the legality of the data

Method used

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  • Data detection method and data detection device

Examples

Experimental program
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Embodiment 1

[0021] According to the embodiment of the present application, an embodiment of a method for detecting data is also provided. It should be noted that the steps shown in the flowchart of the accompanying drawings can be executed in a computer system such as a set of computer-executable instructions, and Although the logical sequence is shown in the flowchart, in some cases, the steps shown or described may be performed in a different order than here.

[0022] The method embodiments provided in the embodiments of the present 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 1 It is a block diagram of the hardware structure of a computer terminal according to an embodiment of the present application. Such as figure 1 As shown, the computer terminal 10 may include one or more (only one is shown in the figure) processor 102 (the processor 102 may include, but is not limited to,...

Embodiment 2

[0110] According to the embodiment of the present application, there is also provided a device for implementing the above detection data method, such as Figure 5 As shown, the device includes: a reading module 30, a first judgment module 40, and a second judgment module 50.

[0111] Wherein, the reading module 30 is configured to read the confidence interval determined based on the sample weight of the labeled sample, where the sample weight is obtained by training the pre-acquired labeled samples through the weight model.

[0112] The first judgment module 40 is used to judge whether the data to be verified is in the confidence interval, and obtain the first judgment result.

[0113] The second judgment module 50 is configured to judge whether the data to be verified is legal data according to the first judgment result, and obtain the second judgment result.

[0114] The above-mentioned second judgment module 50 can be used to judge that the data to be verified is legal data if the d...

Embodiment 3

[0151] The embodiments of the present application may provide a computer terminal, and the computer terminal may be any computer terminal device in a computer terminal group. Optionally, in this embodiment, the above-mentioned computer terminal may also be replaced with a terminal device such as a mobile terminal.

[0152] Optionally, in this embodiment, as Figure 8 As shown, the foregoing computer terminal may be located in at least one network device 101 among multiple network devices in a computer network, and the network device 101 may be connected to other network devices 103 through the network.

[0153] Optionally, such as Figure 8 The computer terminal A in the illustrated embodiment may include: one or more (only one is shown in the figure) processor, memory, and transmission device.

[0154] The memory can be used to store software programs and modules, such as the program instructions / modules corresponding to the method and device for detecting data in the embodiments of...

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PUM

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Abstract

The application discloses a data detection method and a data detection device. The method comprises the following steps: reading a confidence interval determined based on the sample weight of a labeled sample, wherein the sample weight is obtained by training a pre-acquired labeled sample through a weight model; judging whether to-be-checked data is within the confidence interval to get a first judgment result; and judging whether the to-be-checked data is legitimate data according to the first judgment result to get a second judgment result. The technical problem that the accuracy of data legitimacy check is low is solved, and an effect of accurate data legitimacy check is achieved.

Description

Technical field [0001] This application relates to the field of data processing, and specifically to a method and device for detecting data. Background technique [0002] In the Internet virtual trading platform, the virtual resource data of various virtual objects are mixed together. In order to better manage and distinguish the legitimacy of these data, the virtual resource data released by accounts (such as merchants) can be distinguished based on the data confidence interval (such as Whether the phone price) is legal. At present, the prices of various categories of commodities published by various merchants on e-commerce websites are different and the quantity is huge. Relying on manual judgment to determine the problem of data classification, it consumes a lot of labor costs, and manual judgment is subjective. , The judgment result is not accurate. [0003] The prior art provides a data confidence interval estimation method. After preprocessing the data, the method directly ...

Claims

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Application Information

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IPC IPC(8): G06Q30/02
Inventor 谢世鹏
Owner ALIBABA GRP HLDG LTD
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