Data prediction method based on hidden Markov model
A data prediction and data technology, applied in relational databases, database models, structured data retrieval, etc., can solve problems such as missing data, data with little reference value, and inconvenient use by users, and achieve the effect of accurate data
Inactive Publication Date: 2017-12-29
易海陆圆(山东)数字技术有限公司 +1
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[0002] In the existing data exchange system, when two systems modify the same data, if the modified value is incorrect, the administrator needs to confirm it. During this period, a lot of coordination, communication, and re-collection may be required The process; and during this period, the data will be difficult to update to the database, which will cause a serious lag in the data
At the same time, in the prediction of future data trend, the existing technology simply conducts historical analysis on a single data, which often results in the predicted data with no reference value; in addition, when a series of problems such as network failures cause When the data is missing, it will also bring great inconvenience to the user
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[0028] Please refer to Figure 1 to Figure 4 , a data prediction method based on the Inmarkov model, said method comprising the steps of:
[0029] Step 1. According to the type of data that needs to be predicted, analyze historical related data through the associated attributes of the database, and use the tables of the classification library to find data that meets the modeling conditions; wherein, the "data that meets the modeling conditions" includes:
[0030] A. The data is valid data that exists for a long time;
[0031] B. The data volume of the data needs to reach the set number (for example, it needs to reach 30 data volumes), and except for the data that needs to be predicted, other fields are the same. For example, if the air quality in the weather data is to be predicted, then In addition to air quality, other fields such as air humidity and wind power need to be the same (or within the error range that can be judged to be the same);
[0032] C. There is a positiv...
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The invention provides a data prediction method based on a hidden Markov model. According to the method, historical relevant data is analyzed through association properties of a database according to a data type needing to be predicted, and data meeting modeling conditions is searched for by use of tables in a classification base; the found data meeting the modeling conditions is classified, and modeling is performed on the data according to classification to generate a plurality of transformation matrixes; and all the transformation matrixes generated through modeling are utilized to predict the data needing to be predicted to generate all prediction results, and all the prediction results are compared to generate a final prediction result. The method has the advantages that through the method, a future trend chart of some data can be efficiently predicted, and the predicted trend chart has higher reference value; and part of data vacant in the database for some reasons can be supplemented quickly and relatively accurately.
Description
technical field [0001] The invention relates to a data prediction method based on an Inmarkov model. Background technique [0002] In the existing data exchange system, when two systems modify the same data, if the modified value is incorrect, the administrator needs to confirm it. During this period, a lot of coordination, communication, and re-collection may be required. The process; and during this period, the data will be difficult to update to the database, which will cause a serious lag of the data. At the same time, the existing technology only simply conducts historical analysis on a single data in the prediction of the future data trend, which often results in the predicted data with no reference value; in addition, when a series of problems such as network failures cause When data is missing, it will also bring great inconvenience to users. Contents of the invention [0003] The technical problem to be solved by the present invention is to provide a data predic...
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IPC IPC(8): G06F17/30
CPCG06F16/35G06F16/285
Inventor 张英歌郭帮务
Owner 易海陆圆(山东)数字技术有限公司