Data identification method and device, electronic equipment and storage medium
A data identification and data technology, applied in the field of data processing, can solve the problems of high data identification misjudgment rate and low data identification accuracy, and achieve the effect of improving accuracy and reducing misjudgment rate.
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Embodiment 1
[0031] figure 1 It is a flow chart of a data identification method provided by Embodiment 1 of the present invention. This embodiment is applicable to the situation of identifying data based on multi-dimensional data features. The method can be executed by a data identification device, which can use software and / or implemented in hardware, and generally can be directly integrated in the electronic device that executes the method. The electronic device can be a terminal device or a server device. The embodiment of the present invention does not apply to the type of electronic device that executes the data identification method To limit. Specifically, such as figure 1 As shown, the data identification method may specifically include the following steps:
[0032] S110. Obtain communication data to be identified.
[0033] Wherein, the communication data to be identified can be any communication data that needs to be identified, for example, it can be phone number data to be id...
Embodiment 2
[0067] Harassing phone calls refer to selling products or pretending to be the police or bank staff for fraud and other phone harassment behaviors. Traditional harassing calls generally have high-frequency harassment behavior characteristics, but with the development of countermeasures against harassing calls, calls The harassing calls with low frequency are gradually increasing, the frequency of low-frequency harassing calls is lower, mobile phone numbers are mainly dialed, and the average calling time is relatively low. Therefore, in the embodiment of the present invention, the communication data of the low-frequency mobile phone number type is taken as an example for specific description. figure 2 It is a flow chart of a specific example of a data identification method provided in Embodiment 2 of the present invention, such as figure 2 As shown, the data identification method may specifically include the following:
[0068] (1) Preliminary screening of big data condition...
Embodiment 3
[0094] Figure 4 It is a schematic diagram of a data identification device provided in Embodiment 3 of the present invention, such as Figure 4As shown, the device includes: an unidentified communication data acquisition module 410, a bill feature determination module 420, an unrecognized communication data feature generation module 430, a feature recognition result generation module 440, and a recognition result determination module 450, wherein:
[0095] Unidentified communication data acquisition module 410, configured to acquire unidentified communication data;
[0096] Bill feature determination module 420, configured to determine the operating domain bill features and statistical domain bill features of the communication data to be identified;
[0097] The communication data feature generation module 430 to be identified is used to generate the communication data feature to be identified according to the operating domain bill feature and the statistics domain bill featu...
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