Product demand abnormal data detection method and device and storage medium

A technology of abnormal data and detection methods, applied in the field of data processing, can solve problems such as product backlog, abnormal product demand data, sluggishness, etc., and achieve the effect of improving accuracy and overcoming limitations

Pending Publication Date: 2022-03-11
中汽数据(天津)有限公司
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Problems solved by technology

However, in the process of product sales, there are various market behaviors such as promotional activitie

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  • Product demand abnormal data detection method and device and storage medium
  • Product demand abnormal data detection method and device and storage medium
  • Product demand abnormal data detection method and device and storage medium

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[0022] In order to make the objects, technical solutions, and advantages of the present invention, the technical solutions of the present invention will be apparent from the technical solutions of the present invention. Obviously, the described embodiments are merely embodiments of the invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained without making creative labor without making creative labor.

[0023] In the description of the present invention, it is to be noted that the terms "center", "upper", "lower", "left", "right", "vertical", "horizontal", "within", "outside", etc. The orientation or positional relationship indicated is based on the orientation or positional relationship shown in the drawings, is meant to facilitate the description of the present invention and simplified description, rather than indicating or implying that the device or component must have a specific orientation. Construct and operati...

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Abstract

The embodiment of the invention discloses a product demand abnormal data detection method and device and a medium, and relates to the technical field of data processing. The method comprises the following steps: acquiring a time sequence of original product demand data; sliding a window on the time sequence, and analyzing data in the sliding window to obtain a first abnormal data set; performing trend decomposition on the time sequence to obtain a second abnormal data set; and obtaining an intersection of the first abnormal data set and the second abnormal data set to obtain a final abnormal data set. According to the embodiment, the abnormal data in the product requirements can be screened out, and subsequent processing on the abnormal data is facilitated.

Description

technical field [0001] The embodiments of the present invention relate to data processing technologies, and in particular to a method, device and storage medium for detecting abnormal product demand data. Background technique [0002] In the process of product manufacturing and after-sales service, product demand forecasting is an important part. Product demand forecasting is the estimation of future market demand for products, and is the basis for formulating supply chain plans, operating strategies, and marketing strategies. It also occupies an important position in the fields of intelligent manufacturing and industrial intelligent analysis. [0003] In order to build an accurate demand forecasting model, accurate product demand data is essential. However, in the process of product sales, there are various market behaviors such as promotional activities, batch recalls, business swiping orders, and temporary batch purchases. Risk of backlog or sluggishness. [0004] In v...

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Application Information

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IPC IPC(8): G06F16/2457G06F16/2458G06Q30/02
CPCG06F16/2457G06F16/2474G06F16/2465G06Q30/0202
Inventor 任女尔李茂莹张博鑫尹月华王昊王通马政宇王晨
Owner 中汽数据(天津)有限公司
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