Data exception identification method and device, storage medium and electronic equipment

A data identification and data anomaly technology, applied in the computer field, can solve the problem of low accuracy of data anomaly identification

Active Publication Date: 2021-01-15
TENCENT TECH (SHENZHEN) CO LTD
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  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0006] Embodiments of the present invention provide a data anomaly identification method, device, storage medium and electronic equipment to at least solve the technical problem of low accuracy in data anomaly identification

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  • Data exception identification method and device, storage medium and electronic equipment
  • Data exception identification method and device, storage medium and electronic equipment
  • Data exception identification method and device, storage medium and electronic equipment

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Embodiment Construction

[0027] In order to enable those skilled in the art to better understand the solutions of the present invention, the following will clearly and completely describe the technical solutions in the embodiments of the present invention in conjunction with the drawings in the embodiments of the present invention. Obviously, the described embodiments are only It is an embodiment of a part of the present invention, but not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by persons of ordinary skill in the art without making creative efforts shall fall within the protection scope of the present invention.

[0028] It should be noted that the terms "first" and "second" in the description and claims of the present invention and the above drawings are used to distinguish similar objects, but not necessarily used to describe a specific sequence or sequence. It is to be understood that the data so used are interchangeable under appropriate ...

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Abstract

The invention discloses a data exception identification method and device, a storage medium and electronic equipment. The method comprises the steps of obtaining a data identification request; in response to the data identification request, obtaining attribute statistical characteristics and behavior sequence data corresponding to the log data, wherein the attribute statistical characteristics include characteristics obtained by performing statistics on parameter changes of a plurality of attribute parameters associated with a target account in the target time period, and behavior sequence data corresponding to the log data, and the behavior sequence data comprises time sequence data of behaviors executed by a virtual object controlled by the target account in a target time period; inputting the attribute statistical characteristics into a conversion model to obtain attribute combination characteristics output by the conversion model; and inputting the attribute combination features, the attribute statistical characteristics and the behavior sequence data into an identification model to obtain a data identification result output by the identification model. According to the invention, the technical problem of low accuracy of data exception identification is solved.

Description

technical field [0001] The present invention relates to the field of computers, in particular to a method, device, storage medium and electronic equipment for identifying abnormal data. Background technique [0002] In many game applications, in order to ensure the fairness of the game, it is often determined whether the game player is an abnormal player based on judging whether the log data generated by the historical game behavior of different players is abnormal. [0003] In the face of the abnormal identification of the above-mentioned log data, related technologies usually use the understanding of business knowledge, manually design some features and perform feature selection to obtain features of fixed dimensions, and then build machine learning models based on the designed features. form to learn the characteristics of high-quality players in the data. [0004] However, the artificially designed features cannot take into account the combined features between player a...

Claims

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Application Information

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IPC IPC(8): A63F13/75G06K9/62G06N3/04
CPCA63F13/75G06N3/045G06F18/253
Inventor 陈观钦陈健柯何施慧陈远王摘星刘恩吏
Owner TENCENT TECH (SHENZHEN) CO LTD
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