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Data classification method

A data classification, data technology, applied in the field of information classification

Pending Publication Date: 2021-09-10
XIDIAN UNIV
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0006] The purpose of the present invention is to solve the technical problem that the existing technology cannot classify the unknown data in the target domain and the domain offset cannot be avoided when there are a large number of known data in the source domain and unknown data in the source domain. a data classification method

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Embodiment Construction

[0036] The following will clearly and completely describe the technical solutions in the embodiments of the application with reference to the drawings in the embodiments of the application. Apparently, the described embodiments are only some of the embodiments of the application, not all of them. Based on the embodiments in this application, all other embodiments obtained by persons of ordinary skill in the art without creative efforts fall within the protection scope of this application.

[0037] This application proposes a data classification method to solve the problem that the existing technical solutions are not suitable for classifying unknown data in the target domain when there are a large number of known data in the source domain and unknown data in the source domain. Technical issues with domain shift

[0038] Such as figure 1 Shown is a schematic flowchart of a data classification method proposed by an embodiment of the present invention, the method is applied to a...

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Abstract

The invention discloses a data classification method. The method is applied to a system comprising a source domain and a target domain, and comprises the following steps: firstly, determining a source domain data mapping type prototype matrix corresponding to source domain data in the source domain in a common subspace; determining a target domain known mapping type prototype matrix corresponding to target domain data in the target domain in the common subspace, wherein the source domain data mapping type prototype matrix comprises a source domain known mapping type prototype matrix and a source domain unknown mapping type prototype matrix; and then determining a target domain unknown mapping type prototype matrix based on the source domain data mapping type prototype matrix and the target domain known mapping type prototype matrix, and finally determining a class label of each sample in target domain unknown type data according to the target domain unknown mapping type prototype matrix. The target domain unknown type data can be accurately classified under the condition that a large amount of source domain known type data and source domain unknown type data exist, and the problem of domain offset is avoided.

Description

technical field [0001] The invention belongs to the technical field of information classification, and in particular relates to a data classification method. Background technique [0002] With the development of computer technology and information technology, in the field of classification, the number and types of target data are increasing. Usually, the field to be classified is called the target domain, and the auxiliary field with a large number of labeled samples is called the source domain. Generally, there are differences between the source domain and the target domain. This difference is called domain difference. Currently, for classification tasks or other tasks in the target domain, the knowledge learned in the source domain is applied to the target domain to complete Classification tasks or other tasks in the target domain, in the process, due to the existence of domain differences, usually encounter a series of problems, that is, the domain shift problem. [0003...

Claims

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Application Information

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IPC IPC(8): G06K9/62
CPCG06F18/241G06F18/214
Inventor 李晓杜辉翟之博
Owner XIDIAN UNIV
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