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Method and device for rejecting abnormal data in key business prediction

A technology for removing abnormal and business data, applied in the field of data processing, can solve problems such as inability to adapt to business support systems, and the real trends of key business are far from each other, and achieve the effect of improving prediction accuracy

Active Publication Date: 2012-05-16
CHINA MOBILE GROUP SICHUAN
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Problems solved by technology

The trend analyzed by this method is often far from the real trend of key business, and cannot adapt to the current complex and changeable business support system

Method used

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  • Method and device for rejecting abnormal data in key business prediction
  • Method and device for rejecting abnormal data in key business prediction
  • Method and device for rejecting abnormal data in key business prediction

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Embodiment Construction

[0029] In order to make the object, technical solution and advantages of the present invention more clearly, the present invention will be further described in detail below in conjunction with the accompanying drawings and specific embodiments.

[0030] In the embodiment of the present invention, the credible interval of the historical business data in the business support system is determined, and the historical business data outside the credible interval is eliminated to obtain the processed data. The corresponding fitting curve is formed from the processed data, and then the dispersion of each processed data is calculated. If the dispersion of the processed data is greater than the threshold, the processed data is eliminated, and finally the credible data is obtained; finally, the credible data is predicted according to the obtained credible data. Key business trends. According to the specific situation of the data to be processed, the abnormal data is eliminated twice, the...

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Abstract

The invention discloses a method for rejecting abnormal data in the key business prediction. The method comprises the following steps of: determining a credibility interval of historical business data in a business support system and rejecting abnormal historical business data by the credibility interval to obtain processing data; forming a fitting curve by using the processing data; calculating the dispersion of the processing data according to the fitting curve; rejecting non-serious historical business data from the processing data according to a threshold; and predicating the trend of key business according to the obtained credible data. The invention also discloses a device for rejecting the abnormal data in the key business prediction. Due to the application of the embodiment of the invention, the abnormal data can be accurately rejected and further the predication precision of the key business is improved.

Description

technical field [0001] The present invention relates to the technical field of data processing, and more particularly, to a method and device for eliminating abnormal data in key business forecasting. Background technique [0002] In order to adapt to changing market demands, the mobile company's business support system often faces the challenge of frequent business changes. In the mobile company's business support system, new business modules are launched or old business modules are changed every week, coupled with the unpredictable market business volume, it is difficult to grasp the impact of key businesses on the business support system. The impact of key business on the business support system often causes many problems such as poor stability of the business support system and frequent hardware upgrades of the business support system, which directly affects customer satisfaction. Therefore, the prediction of key business becomes the concern of the operation and mainten...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): H04W24/06H04W88/18
Inventor 杨名苏伟杰刘三苏郑水华
Owner CHINA MOBILE GROUP SICHUAN
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