Intelligent derivative variable construction method in data modeling

A data modeling and construction method technology, applied in the field of data processing, can solve problems such as time-consuming analysis personnel, shortage of talents, affecting the accuracy of final model analysis and prediction, etc., to improve the waiting time and minimize the loss of information volume.

CN110475370APending Publication Date: 2019-11-19苏州研数信息科技有限公司

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Patent Information

Authority / Receiving Office: CN · China
Current Assignee / Owner: 苏州研数信息科技有限公司
Publication Date: 2019-11-19

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Abstract

The invention discloses an intelligent derivative variable construction method in data modeling. The intelligent derivative variable construction method comprises the following steps that a mobile terminal collects original data and divides the collected original data into static data, behavior data and transaction data; the mobile terminal receives the information sending priority information; the mobile terminal receives a mobile terminal identity identifier, and the mobile terminal identity identifier is generated by the transmission receiving point and distributed to the mobile terminal; the mobile terminal determines a sending sequence based on the information sending priority information; and the mobile terminal determines sending random waiting time and sends a random access requestmessage to the transmission receiving point according to the sending sequence after sending the random waiting time, and the random access request message comprises the sending random waiting time and the mobile terminal identity identifier. By classifying the mobile terminals, it is ensured that some time delay sensitive data can be transmitted preferentially.

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Description

technical field

[0001] The invention relates to the technical field of data processing, in particular to a method for constructing intelligent derived variables in data modeling. Background technique

[0002] Data modeling refers to the abstract organization of all kinds of data in the real world, determining the scope of the database to be governed, the organizational form of the data, etc. until it is transformed into a real database. After the conceptual model abstracted after system analysis is transformed into a physical model, the process of establishing database entities and the relationship between entities in tools such as visio or erwin (entities are generally tables).

[0003] In data modeling, the construction of derived variables is a very complicated problem. Different businesses, different products, and different customers have different construction methods for variables under different analysis objectives. In the traditional mode, analysts need to have a de...

Claims

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