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Label strategy recommendation and marking method, terminal equipment and storage medium

A recommendation method and labeling technology, applied in the field of big data, can solve the problems of low update efficiency and untimely update label strategy, and achieve the effect of solving lag and low efficiency, and timely formulating and updating.

Inactive Publication Date: 2021-03-19
XIAMEN MEIYA PICO INFORMATION
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

Through manual matching or formulating, the update label strategy is not timely and the update efficiency is low

Method used

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  • Label strategy recommendation and marking method, terminal equipment and storage medium
  • Label strategy recommendation and marking method, terminal equipment and storage medium

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0030] The embodiment of the present invention provides a label policy recommendation method, such as figure 1 As shown, the method includes the following steps:

[0031] S101: Perform data structure matching between the received target data set and the pre-stored label design, and use the successfully-matched pre-stored label design as a candidate label design, and proceed to S102; if the matching is unsuccessful, end the task.

[0032] The pre-stored label design can be an overview of the key elements of the label produced according to business requirements and pre-stored in the database or label design pool.

[0033] The label design includes the label name, the input data content or data structure involved in the label, and the label rules for operating the input data.

[0034] The target data set may be a standardized data set accessed in each system or platform, and the number of target fields / columns in the target data set may be at least one.

[0035] In order to sel...

Embodiment 2

[0067] The embodiment of the present invention also provides a marking method, based on the label strategy recommendation method in Embodiment 1, such as figure 2 As shown, the marking method includes the above steps:

[0068] S201: When the target data set to be marked is received, judge whether the data volume of the target data set is qualified, if qualified, go to S202; otherwise, end.

[0069] Whether the data amount information is qualified or not is judged in the same manner as in Embodiment 1.

[0070] S202: Determine whether the target data set and field match the input data set and field of the label policy in the label policy pool, and if they match, proceed to S203; otherwise, perform labeling using the label policy recommended by the label policy recommendation method in Embodiment 1.

[0071] The tag policies included in the tag policy pool can be generated through the tag policy recommendation method in Embodiment 1, specifically including the tag policies tha...

Embodiment 3

[0075] The present invention also provides a label policy recommendation terminal device, including a memory, a processor, and a computer program stored in the memory and operable on the processor, and the present invention is realized when the processor executes the computer program Steps in the above method embodiment of Embodiment 1.

[0076] Further, as an executable solution, the signing policy recommendation terminal device may be computing devices such as desktop computers, notebooks, palmtop computers, and cloud servers. The sign policy recommendation terminal device may include, but not limited to, a processor and a memory. Those skilled in the art can understand that the composition and structure of the above-mentioned signature strategy recommendation terminal device is only an example of the signature strategy recommendation terminal device, and does not constitute a limitation on the signature strategy recommendation terminal device, and may include more or less c...

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Abstract

The invention relates to a label strategy recommendation and marking method, terminal equipment and a storage medium, and the recommendation process comprises the steps: carrying out the data structure matching of a received target data set and a pre-stored label design, and enabling the successfully matched pre-stored label design to serve as a candidate label design; determining a first target data structure of the target data set and the candidate label design according to the filling rate of the data structure successfully matched with the candidate label design in the target data set; formulating a candidate label strategy according to the first target data structure and the candidate label design; and recommending the candidate label strategy. According to the invention, the problemsof hysteresis and low efficiency of the existing label production strategy can be solved, so that the automatic and timely formulation of the label strategy is realized.

Description

technical field [0001] The invention relates to the field of big data, in particular to a label strategy recommendation and marking method, a terminal device and a storage medium. Background technique [0002] At present, in the field of computer big data, for the collected original big data, standardization and a series of preprocessing are carried out according to the access strategy of the access platform, the processing strategy of the processing platform, and the metadata standard of the governance platform, so that the extracted value density is higher All kinds of information supporting applications are stored in the form of data sets. [0003] At present, for newly accessed data sets, it is necessary to manually select the label strategy matching the access data set from the established label strategy pool, or manually formulate a new label strategy based on the established label design document, so as to achieve The labeling strategy performs labeling processing on...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06F16/903G06F16/9035G06F40/30
CPCG06F16/90344G06F16/9035G06F40/30
Inventor 郭贵凤陈锋王兵李虎孙浩朱熹
Owner XIAMEN MEIYA PICO INFORMATION
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