Support vector data description shell algorithm

A support vector and data description technology, which is applied in the fields of electrical digital data processing, special data processing applications, and calculations, and can solve the problems of inestimable storage space, inability to analyze and process in real time, and unrealistic transmission.

Inactive Publication Date: 2009-09-09
王鹏 +1
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Problems solved by technology

For this kind of data, especially distributed data streams, the method of batch storage and then analysis is no longer competent. Its main disadvantages are: the storage space cannot be estimated; it cannot be analyzed and processed in real time
On the other hand, in a distributed envi

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  • Support vector data description shell algorithm
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  • Support vector data description shell algorithm

Examples

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Embodiment Construction

[0097] Specific application examples of the algorithm

[0098] In such Figure 5 (correspond figure 1 , Such as bank transaction data) or Figure 6 (correspond figure 2 , For example, in a distributed environment with meteorological and seismic stations distributed all over the world:

[0099] ●Sensors are physical detection equipment deployed in various regions (sites). For example, bank ATM machines, POS machines, thermometers and hygrometers in weather stations, satellite signal receivers, etc.

[0100] ●Analysis nodes are general computing devices deployed at various common sites. For example, the servers of ordinary bank branches, mail servers, weather, earthquake, satellite stations and so on. These computing devices do not require high computing power like large-scale equipment in data centers, and can be chips solidified in hardware, or even software installed on ordinary computers. Its main task is to collect and analyze the raw data samples collected by the sensors. Spe...

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Abstract

The invention relates to a support vector data description shell algorithm. In response to problems and characteristics of data analysis model conformation and integration in distributed environment and bases on support vector data description (SVDD) algorithm, surrounding contour of the data is descried while parameters of the system are controlled, potential support vectors outside the contour are reserved, data which has no effect on future model conformation and integration is deleted, a hyper-spherical shell of potential support vector with certain thickness which describes data characteristics is formed, and the potential support vector quantity and model precision are balanced, thereby reaching the goal of expressing the model precisely by as little data as possible and reducing future model confirmation and integrating venture as a whole. The algorithm is applicable to models which are conformed and integrated by nodes in the distributed environment and to models which are found by analyses of different nodes.

Description

Technical field [0001] The invention relates to a data mining technology, in particular to a support vector data description shell algorithm. It is data flow analysis and mining technology and support vector machine technology in a distributed environment, focusing on solving the problem of model integration in a distributed environment. Background technique [0002] At present, the traditional data analysis method is based on batch data collection, stored in a certain medium, and then analyzed. With the rapid development of the information society, massive amounts of data are no longer and cannot be completely stored, and are analyzed by reading them more than once. This kind of stream composed of a group of data arriving in chronological order, at an uncertain rate, continuous, massive, and potentially infinite is called a data stream. Multiple data streams from different data sources form multiple data streams. In the computer network environment, multiple data streams are inp...

Claims

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Application Information

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IPC IPC(8): G06F17/30
Inventor 王鹏
Owner 王鹏
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