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Data classification method, system and classifier implementation method

A technology of data classification and classifier, which is applied in the field of data classification methods and systems and the realization of classifiers, which can solve problems such as unrealized classifiers, and achieve the effects of improving data classification efficiency, good accuracy, and reasonable classification

Inactive Publication Date: 2016-04-06
CHINA UNIONPAY
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Problems solved by technology

Classifiers for large-scale data (big data) can achieve high classification accuracy in classification, but such classifiers have not been implemented in the prior art

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  • Data classification method, system and classifier implementation method

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Embodiment Construction

[0020] The specific embodiments of the present invention will be described in further detail below with reference to the accompanying drawings. In the following description, for the purpose of explanation, many specific details are set forth in order to provide a thorough understanding of one or more aspects of the embodiments.

[0021] figure 1 It is a schematic diagram of the steps of a data classification method according to an embodiment of the present invention.

[0022] Such as figure 1 As shown, the data classification method according to the embodiment of the present invention includes:

[0023] Step 101: Generate multiple sets of data from the data set as a training set, where the proportion of various types of data in the set of data is set for each set of data, and the corresponding type of data is extracted from the data set according to the proportion. The proportions of various types of data in each group of data can be different. The inventor noticed that the selec...

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Abstract

The present invention discloses a data classification method and system, and a classifier implementation method. The method comprises: generating multiple data groups from a data set as a training set, setting proportions of various types of data in the data group for each data group, and according to the proportion, extracting corresponding data type from the data set; for each data group in the multiple data groups, generating a corresponding sub-classifier by using a corresponding training algorithm; acquiring an evaluation value of each sub-classifier by using the multiple sub-classifiers generated through test data evaluation; and taking the evaluation value as a basis of a weight value, and combining multiple sub-classifiers into a classifier by using a weighted voting method to classify data.

Description

Technical field [0001] The present invention relates to data mining, and more particularly to a data classification method and system and a method for implementing a classifier. Background technique [0002] The target data processed by data classification in traditional data mining technology is usually a small-scale data set. The classification accuracy of a classifier based on a small-scale data set is small. Classifiers for large-scale data (big data) can achieve higher classification accuracy in terms of classification, but such classifiers have not been implemented in the prior art. [0003] Therefore, one goal of the present invention is to use the information resources of big data to realize a classifier, data classification method and system with higher classification accuracy and more reasonable classification. Summary of the invention [0004] The present invention discloses the following technical solutions. [0005] A method of data classification, including: [0006] G...

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06F17/30
Inventor 杨鸿超赵金涛
Owner CHINA UNIONPAY
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