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Dynamically predictable data flow detection and classification method and device

A data flow and dynamic prediction technology, applied in structured data retrieval, database models, relational databases, etc., can solve problems such as restricting business operation scenarios, intelligent identification and refined classification of difficult multi-source data streams

Active Publication Date: 2020-10-02
上海飞旗网络技术股份有限公司
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  • Abstract
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  • Application Information

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Problems solved by technology

In traditional solutions, it is usually only possible to intelligently identify and finely classify single-source data streams, and it is difficult to intelligently identify and finely classify multi-source data streams, thus limiting business operation scenarios

Method used

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  • Dynamically predictable data flow detection and classification method and device
  • Dynamically predictable data flow detection and classification method and device
  • Dynamically predictable data flow detection and classification method and device

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Embodiment Construction

[0043] In order to make the purpose, technical solutions and advantages of the embodiments of the present application clearer, the technical solutions in the embodiments of the present application will be clearly and completely described below in conjunction with the drawings in the embodiments of the present application. It should be understood that the appended The figures are only for the purpose of illustration and description, and are not used to limit the protection scope of the present application.

[0044] figure 1 A schematic diagram of an application scenario of the data traffic detection and classification system 10 provided by the embodiment of the present application is shown. In this embodiment, the data traffic detection and classification system 10 may include a server 100 and a user terminal 200 communicatively connected to the server 100 .

[0045] The user terminal 200 may include, but is not limited to, a mobile device, a tablet computer, a laptop computer...

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Abstract

The embodiment of the invention provides a dynamically predictable data flow detection and classification method and device. A training sample is obtained by analyzing multi-source heterogeneous big data. Then, the training samples are shunted according to label types, and a stream session feature vector and a regression model prediction vector of each shunted training sample are calculated. The stream session feature vector and the regression model prediction vector are mixed for deep learning, so that the data characteristics of the multi-source heterogeneous data are considered, intelligentidentification and refined classification can be carried out on the multi-source heterogeneous data stream, capability support is provided for big data service and application aggregation, and deep mining of big data value is realized.

Description

technical field [0001] The present application relates to the technical field of data flow detection and classification, and in particular, to a dynamically predictable data flow detection and classification method and device. Background technique [0002] At present, real-time analysis application scenarios for multi-source heterogeneous massive data have become more and more common. How to intelligently identify and finely classify unknown multi-source data streams, so as to provide real-time big data analysis and processing for subsequent business operations, is a major problem in this field. In traditional solutions, it is usually only possible to intelligently identify and finely classify single-source data streams, but it is difficult to intelligently identify and finely classify multi-source data streams, thus limiting business operation scenarios. Contents of the invention [0003] In view of this, the purpose of this application is to provide a dynamically predic...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06F16/28G06K9/62
CPCG06F16/285G06F18/241
Inventor 杨贻宏
Owner 上海飞旗网络技术股份有限公司
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