Prediction method, device, computing device and storage medium
A forecasting method and data retention technology, applied in forecasting, computing, data processing applications, etc., can solve the problems of correlation algorithm distortion, long time required, data and real data errors, etc.
Active Publication Date: 2020-08-25
BEIJING YUANLI WEILAI SCI & TECH CO LTD
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Problems solved by technology
[0002] When doing data analysis and strategic decision-making, it is often encountered that the core data cannot be obtained in a timely and accurate manner
When the processing data is non-linear data, the commonly used correlation algorithm has the possibility of serious distortion, resulting in errors between the obtained data and the real data, and then making wrong judgments, and it takes a long time, which is different from contemporary The needs of the market for rapid iteration are seriously inconsistent
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[0055] In the following description, numerous specific details are set forth in order to provide a thorough understanding of the specification. However, this specification can be implemented in many other ways different from those described here, and those skilled in the art can make similar extensions without violating the connotation of this specification, so this specification is not limited by the specific implementations disclosed below.
[0056] figure 1 It is a schematic diagram showing the application architecture of the prediction method according to an embodiment of the present specification. The application architecture includes computing device 100 , network 160 and database 150 .
[0057] Components of the computing device 100 include, but are not limited to, a memory 110 and a processor 120 . The processor 120 is connected to the memory 110 through the bus 130, and the database 150 is used for storing user data.
[0058] Computing device 100 also includes acce...
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The invention provides a prediction method and device, a computing apparatus and a storage medium, wherein, the method comprises the following steps of: acquiring a plurality of first retained data and a plurality of second retained data of an evaluation object in a first observation period, and respectively composing a first sequence and a second sequence; determining a correlation coefficient ofthe evaluation object based on the first sequence and the second sequence; determining that the first retained data and the second retained data are strongly correlated if the correlation coefficientis not greater than a set threshold value, and predicting a plurality of second retained data of the evaluation object in the second observation period according to a plurality of first retained dataof the evaluation object in the second observation period, wherein the total number of days in the second observation period is greater than the total number of days in the first observation period.
Description
technical field [0001] This specification relates to the field of market channel evaluation and analysis, and in particular to a forecasting method, device, computing device and storage medium. Background technique [0002] When doing data analysis and strategic decision-making, it is often encountered that the core data cannot be obtained in a timely and accurate manner. When the processing data is non-linear data, the commonly used correlation algorithm has the possibility of serious distortion, resulting in errors between the obtained data and the real data, and then making wrong judgments, and it takes a long time, which is different from contemporary The needs of the market for rapid iteration are seriously inconsistent. Contents of the invention [0003] In view of this, the embodiments of this specification provide a prediction method, device, equipment and storage medium to solve the technical defects existing in the prior art. [0004] According to the first asp...
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IPC IPC(8): G06Q10/04G06Q30/02
CPCG06Q10/04G06Q30/0202
Inventor 贾寅辰
Owner BEIJING YUANLI WEILAI SCI & TECH CO LTD