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A method and device for diagnosing abnormal data

A technology of abnormal data and diagnosis method, applied in the computer field, can solve problems such as errors and affect recognition accuracy, and achieve the effect of improving accuracy

Active Publication Date: 2019-08-06
TENCENT TECH (SHENZHEN) CO LTD
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0004] However, if the compared data itself is abnormal, then the identified result is likely to be wrong, affecting the accuracy of identification.

Method used

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  • A method and device for diagnosing abnormal data
  • A method and device for diagnosing abnormal data
  • A method and device for diagnosing abnormal data

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Embodiment Construction

[0031] An embodiment of the present invention provides a method for diagnosing abnormal data, which can select data with higher reliability as a reference to identify abnormal data, thereby improving the accuracy of identification.

[0032] The terms "first", "second", "third", "fourth", etc. (if any) in the description and claims of the present invention and the above drawings are used to distinguish similar objects, and not necessarily Used to describe a specific sequence or sequence. It is to be understood that the data so used are interchangeable under appropriate circumstances such that the embodiments of the invention described herein are, for example, capable of practice in sequences other than those illustrated or described herein. Furthermore, the terms "comprising" and "having", as well as any variations thereof, are intended to cover a non-exclusive inclusion, for example, a process, method, system, product or device comprising a sequence of steps or elements is not...

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Abstract

An embodiment of the invention discloses a method for diagnosing data abnormality. The method used for increasing recognition accuracy includes: determining the track back length of a reference period and the value condition of a window width, wherein the track back length is used for determining the time interval of the reference period, and the window width is used for determining the time length of the reference period; selecting the target reference period in the track back length and with the window width satisfying the value condition; judging whether the data of the target reference period is abnormal or not according to data fluctuation; if not, determining that the target reference period is the basis reference period; judging whether target data corresponding to target time satisfies preset conditions or not according to the data features of the basis reference period; if not, determining that the target data is abnormal.

Description

technical field [0001] The invention relates to the field of computers, in particular to a method and device for diagnosing abnormal data. Background technique [0002] With the development of information technology, industries such as the Internet and finance will accumulate massive amounts of data, and business operations are increasingly dependent on the collection, processing, and statistical analysis of massive data. The immediacy and reliability of these data have very high requirements on the computer's business analysis system. Sometimes the data will fluctuate abnormally. If the system can identify the abnormal data in time, the operator can make timely response to the abnormal data. analysis and give solutions, so as to provide a more stable platform for users to handle various businesses. [0003] In the prior art, the abnormal data is generally identified by the fluctuation difference between the chain period and the year-on-year period. The chain ratio is to c...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06K9/62
CPCG16Z99/00
Inventor 丁冲
Owner TENCENT TECH (SHENZHEN) CO LTD