Diagnostic Rule Mining Based on Artificial Immune System for a Case of Uneven Distribution of Classes in Sample

Diagnostic Rule Mining Based on Artificial Immune System for a Case of Uneven Distribution of Classes in Sample

The problem of development automation of classification rules synthesis on the basis of negative selection in the case of uneven distribution of classes in the sample is solved. The method for the synthesis of classification rules on the basis of negative selection in the case of uneven distribution...

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Bibliographic Details
Main Authors: Sergey Subbotin, Andrii Oliinyk, Vitaly Levashenko, Elena Zaitseva
Format: Article
Language:English
Published: University of Žilina 2016-09-01
Series:Communications
Subjects:
artificial immune system
instance
negative selection
classification
recognition error
sample
Online Access:https://komunikacie.uniza.sk/artkey/csl-201603-0001_diagnostic-rule-mining-based-on-artificial-immune-system-for-a-case-of-uneven-distribution-of-classes-in-sample.php

Internet

https://komunikacie.uniza.sk/artkey/csl-201603-0001_diagnostic-rule-mining-based-on-artificial-immune-system-for-a-case-of-uneven-distribution-of-classes-in-sample.php

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