Bayesian model-based mobile attendance check cheating prevention big data detection method

A Bayesian model and detection method technology, which is applied in character and pattern recognition, instruments, computer parts, etc., can solve problems such as attendance cheating, and achieve the effect of preventing and eradicating cheating behavior

Active Publication Date: 2017-06-27
GUANGZHOU KINTH NETWORK TECH CO LTD
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Problems solved by technology

[0005] The present invention proposes a mobile attendance anti-cheating big data detection method based on the Bayesian model, which is used to solve the defects of attendance cheating in the prior art

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  • Bayesian model-based mobile attendance check cheating prevention big data detection method

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Embodiment Construction

[0018] The following will clearly and completely describe the technical solutions in the embodiments of the present invention with reference to the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are only some, not all, embodiments of the present invention. Based on the embodiments of the present invention, all other embodiments obtained by persons of ordinary skill in the art without making creative efforts belong to the protection scope of the present invention.

[0019] In order to facilitate and clarify the description of the following examples, some terms are explained before describing the specific embodiments of the present invention in detail, and the following explanations apply to the specification and claims.

[0020] Hadoop in the present invention is a distributed system infrastructure developed by the Apache foundation, and users can develop distributed programs without knowing the details of the distributed ...

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Abstract

The invention discloses a Bayesian model-based mobile attendance check cheating prevention big data detection method, which is used for overcoming the defect of attendance check cheating in the prior art. The method comprises the following steps of building a fake clock-in-and-out cheating model; and applying the fake clock-in-and-out cheating model, wherein the operation of building the fake clock-in-and-out cheating model comprises the four steps of establishing a sample library, training the model, applying the model and optimizing the model. A big data platform is established based on hadoop+spark, data modeling and training are performed by utilizing a Bayesian model, and attendance check cheating prevention samples and model are built, so that attendance check clock-in-and-out data of users are detected in real time; and cheating personnel and fake clock-in-and-out data can be identified more accurately, so that an effective basis can be provided for daily attendance check and management, and cheating behaviors are better prevented and avoided.

Description

technical field [0001] The invention relates to a detection method for attendance prevention cheating, in particular to a Bayesian model-based mobile attendance prevention cheating big data detection method. Background technique [0002] Traditional fingerprint attendance equipment has various disadvantages in the process of enterprise use. Especially in insurance companies with a large number of field personnel, various types of personnel channels, frequent job changes, strong personnel mobility, and complex organizational structure, field check-in, queuing punch cards, attendance control, etc. have become the pain points of attendance. [0003] The existing mobile attendance check-in system, which adopts the latest Internet technology, can realize the check-in attendance, leave application and approval, and query functions on the mobile phone through the precise positioning of GPS, and meets the attendance needs of meetings, business trips, and temporary transfers. However...

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06K9/62
CPCG06F18/24155G06F18/214
Inventor 邓健爽李俊立
Owner GUANGZHOU KINTH NETWORK TECH CO LTD
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