Data processing method and device
A technology for processing data and processing objects, applied in the computer field, can solve problems such as poor computing performance, achieve the effect of solving poor computing performance, avoiding poor computing performance of algorithms, and reducing vector dimensions
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Embodiment 1
[0027] According to an embodiment of the present invention, an embodiment of a method for processing data is provided. It should be noted that the steps shown in the flowcharts of the accompanying drawings can be executed in a computer system such as a set of computer-executable instructions, and, although A logical order is shown in the flowcharts, but in some cases the steps shown or described may be performed in an order different from that shown or described herein.
[0028] It should be noted that a data processing device (such as a terminal such as a computer or a PAD) can be used as the execution subject of the method provided in this embodiment. Optionally, the method provided in this embodiment can be applied to a credit score card. It can be applied to the management of user information in enterprises, and relevant application scenarios are not specifically limited here.
[0029] In an alternative embodiment, figure 1 is a flowchart of a method for processing data a...
Embodiment 2
[0067] According to an embodiment of the present invention, an embodiment of an apparatus for processing data is also provided, wherein, figure 2is a schematic diagram of a device for processing data according to an embodiment of the present invention, such as figure 2 As shown, the device includes: an acquisition module 201 , a processing module 203 and a determination module 205 .
[0068] Wherein, the acquiring module 201 is configured to acquire multiple feature values corresponding to preset features of multiple objects to be processed, wherein each object to be processed has multiple features, and the preset feature is any one of the multiple features, Each feature has a preset number of labels, and each label corresponds to at least one feature value; the processing module 203 is configured to process multiple feature values based on Bayesian theorem to obtain a feature vector corresponding to each feature value, Wherein, the dimension of the feature vector is sm...
Embodiment 3
[0076] According to another aspect of the embodiments of the present invention, there is also provided a storage medium, the storage medium includes a stored program, wherein when the program is running, the device where the storage medium is located is controlled to execute the method for processing data in Embodiment 1 above.
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Abstract
Description
Claims
Application Information
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