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DSVM-based big data classification prediction method

A classification prediction, big data technology, applied in the fields of instruments, character and pattern recognition, computer parts, etc., can solve the problem that the misclassified data cannot be reused, and achieve the effect of improving the classification accuracy and classification efficiency

Inactive Publication Date: 2020-03-06
江苏中路信息科技有限公司
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  • Application Information

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Problems solved by technology

[0005] In view of this, the present invention proposes a large data classification prediction method based on DSVM, aiming at solving the technical problem that misclassified data cannot be reused

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  • DSVM-based big data classification prediction method
  • DSVM-based big data classification prediction method
  • DSVM-based big data classification prediction method

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Embodiment Construction

[0043] Exemplary embodiments of the present disclosure will be described in more detail below with reference to the accompanying drawings. Although exemplary embodiments of the present disclosure are shown in the drawings, it should be understood that the present disclosure may be embodied in various forms and should not be limited by the embodiments set forth herein. Rather, these embodiments are provided for more thorough understanding of the present disclosure and to fully convey the scope of the present disclosure to those skilled in the art. It should be noted that, in the case of no conflict, the embodiments of the present invention and the features in the embodiments can be combined with each other. The present invention will be described in detail below with reference to the accompanying drawings and examples.

[0044] refer to figure 1 , the DSVM-based big data classification prediction method proposed by the embodiment of the present invention includes:

[0045] S...

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Abstract

The invention provides a DSVM-based big data classification prediction method, which comprises the steps: S1, classifying a training set X by using an SVM, if the classification is correct, entering astep S5, and if the classification is incorrect, entering a step S2; S2, searching a misclassification sample set Y from the training set X; S3, performing DSVM data processing on the data of the wrong classification sample set Y; S4, training a classifier by using the processed data; S5, ending. Compared with the prior art, the DSVM-based big data classification prediction method has the beneficial effects that the DSVM data processing is performed on the wrong classification data, and then the classifier is trained by utilizing the processed data, so that the classification accuracy and theclassification efficiency of the classifier can be well improved.

Description

technical field [0001] The present invention relates to the technical field of machine learning and data mining analysis, in particular to a DSVM-based big data classification prediction method. Background technique [0002] With the development of cloud computing, Internet of Things, artificial intelligence and other information technologies, data mining is considered to be a very important, broad application prospect and challenging research field, and has attracted extensive attention from researchers in many disciplines. Data classification technology is an important mining method of data mining. How to effectively process, classify, and identify big data, and predict future development trends based on existing data to assist intelligent and automated decision-making has become a very urgent problem. [0003] Differential Evolution (DE) is a self-organizing global search algorithm, which has the characteristics of memorizing the individual optimal solution and sharing i...

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Application Information

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IPC IPC(8): G06K9/62
CPCG06F18/2411G06F18/214
Inventor 关永胜唐建亚宋营军张荣王宣
Owner 江苏中路信息科技有限公司