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An Artificial Immune Classification and Clustering Systems: A Survey

Stephen Ajay Anurag Beri
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TLDR
An effective survey about artificial immune systems which are used in the classification and clustering areas and also make use of the features such as feature selec tion, pattern recognition and machine learning are surveyed.
Abstract: 
Artificial immune systems (AIS) are a class of comp utationally intelligent systems which consider many properties of natural immune system .Several AIS ar e widely used in different application areas such a s classification, clustering, web mining, virus detec tion, learning, image processing, robotics control, bio-informatics and anomaly detection. Among this classification an d clustering are widely used areas. Most of the the artificial immune system used in the classification and cluste ring area make use some key features of AIS such as feature extraction, recognition and learning. This paper gi ves an effective survey aboutartificial immune syst ems which are used in the classification and clustering areasand also make use of the features such as feature selec tion, pattern recognition and machine learning.

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Application areas of AIS: the past, present and future.

Emma Hart, +1 more
TL;DR: In this paper, the authors take a step back and reflect on the contributions that the Artificial Immune Systems (AIS) has brought to the application areas to which it has been applied, and suggest a set of problem features that they believe will allow the true potential of the immunological system to be exploited in computational systems.
Journal ArticleDOI

The Immune System as a Model for Pattern Recognition and Classification

Jerome H. Carter
- 01 Jan 2000 - 
TL;DR: The immune system offers a viable paradigm for the design of pattern recognition systems and additional research is required to fully exploit the nuances of immune computation.