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Mobile attendance anti-cheating big data detection method based on Bayesian model

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

Active Publication Date: 2020-05-05
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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  • Mobile attendance anti-cheating big data detection method based on Bayesian model
  • Mobile attendance anti-cheating big data detection method based on Bayesian model
  • Mobile attendance anti-cheating big data detection method based on Bayesian model

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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 mobile attendance anti-cheating big data detection method based on a Bayesian model, which is used to solve the defect of attendance cheating in the prior art. It includes the following steps: building a cheating proxy model; applying the cheating proxy model; wherein, building a cheating proxy model includes four steps: establishing a sample library, model training, model application, and model optimization. The present invention builds a big data platform based on hadoop+spark, uses the Bayesian model for data modeling and training, and constructs attendance anti-cheating samples and models, thereby performing real-time detection of user attendance check-in data; the present invention can more accurately identify cheating Personnel and agent punch card data provide effective basis for daily attendance attendance and management, and better prevent and eliminate cheating.

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 Patents(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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