Product data fusion method, device, equipment and storage medium
A product data and fusion method technology, applied in data processing applications, marketing, forecasting, etc., can solve problems such as low accuracy of product data value prediction, low forecast flexibility, and inability to accurately predict product data value.
Active Publication Date: 2021-09-10
PING AN TECH (SHENZHEN) CO LTD
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Problems solved by technology
[0003] However, since the cash flow conversion method or the market price comparison method predicts the value from a single influencing factor, it is impossible to accurately predict the value of different types and changing product data, and its prediction flexibility is low, resulting in The value prediction accuracy of product data is low
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[0059] Embodiments of the present invention provide a product data fusion method, device, equipment, and storage medium, which improve the value prediction accuracy of product data.
[0060] 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 terms so used are interchangeable under appropriate circumstances such that the embodiments described herein can be practiced in sequences other than those illustrated or described herein. Furthermore, the terms "comprising" or "having" and 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 necessarily limited to those explicitly listed instead, may include other steps or elements no...
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The invention relates to the field of big data, and provides a product data fusion method, device, equipment and storage medium for improving the value prediction accuracy of product data. The product data fusion method includes: classifying the product data to be processed based on the asset category to obtain multiple classified product data sets; performing normalized fusion processing on the multiple classified product data sets to obtain each normalized fusion data; Through the structural vector autoregressive model, target index data and normalized fusion data, the value autoregressive prediction is performed on multiple classified product data sets to obtain the initial value prediction data; the initial value prediction data is denormalized to obtain candidates Value prediction data: Perform correlation fusion processing on candidate value prediction data to obtain target value prediction data. In addition, the present invention also relates to block chain technology, and the product data to be processed can be stored in the block chain.
Description
technical field [0001] The present invention relates to the field of prediction and valuation of big data, in particular to a fusion method, device, equipment and storage medium of product data. Background technique [0002] With the development of computer technology, the demand for asset valuation has gradually increased. At present, it is generally through the asset management system to use the cash flow conversion method or the market price comparison method to predict the value of the product data to be processed and obtain the product value data. [0003] However, since the cash flow conversion method or the market price comparison method predicts the value from a single influencing factor, it is impossible to accurately predict the value of different types and changing product data, and its prediction flexibility is low, resulting in The value prediction accuracy of product data is low. Contents of the invention [0004] The invention provides a product data fusio...
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IPC IPC(8): G06Q10/04G06Q10/06G06Q30/02G06K9/62
CPCG06Q30/02G06Q10/04G06Q10/06
Inventor 沈嘉良王遥
Owner PING AN TECH (SHENZHEN) CO LTD