Multi-agent data mining method based on artificial immunity network

An artificial immune network and multi-agent technology, applied in the field of multi-agent data mining based on artificial immune network, can solve problems such as poor description of natural mechanisms, single-angle simulation, difficulties, etc., and improve dynamic analysis capabilities , Improving the clustering accuracy and improving the effect of classification accuracy
CN104615679AInactive Publication Date: 2015-05-13HUAQIAO UNIVERSITY
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Patent Information

Authority / Receiving Office
CN Β· China
Current Assignee / Owner
HUAQIAO UNIVERSITY
Publication Date
2015-05-13
Estimated Expiration
Not applicable Β· inactive patent

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Abstract

The invention discloses a data mining method combined with a multi-agent technology and an artificial immunity network. The typical strategy of the multi-agent technology is integrated into the immunity network. Neighborhood clone selection is introduced to an algorithm, the operation process is executed from the local part to the whole, and a natural evolution model of the immunity network can be simulated more comprehensively. Meanwhile, the competition and collaboration operation between antibodies is increased in the network training process, and the dynamic analysis capacity of the network is improved. By the adoption of the algorithm, in the data mining process, data clustering accuracy can be improved, and data classification accuracy can be improved as well.
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Description

technical field

[0001] The invention relates to the field of data mining, in particular to a multi-agent data mining method based on an artificial immune network. Background technique

[0002] With the advent of the era of big data, extracting or discovering useful relationships or patterns and knowledge from large amounts of data has become a research hotspot. This process is also called data mining. Among them, clustering and classification are the main tasks of data mining. Introducing the artificial immune system algorithm into the field of data mining is a research hotspot in recent years. At present, the algorithms used in the field of data mining for the artificial immune system are all improved and modified based on de Castro's classic immune network algorithm aiNet. The main technologies are clonal selection, mutation, and network suppression. However, the biological immune system is a complex dynamic adaptive system, and it is very difficult to completely simulat...

Claims

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