Paper Info
Title
Attribute weighting via genetic algorithms for attribute weighted artificial immune system (AWAIS) and its application to heart disease and liver disorders problems
Abstract
An increasing number of algorithms and applications have coming into scene in the field of artificial immune systems (AIS) day by day. Whereas this increase is bringing successful studies, still, AIS is not an effective problem solver in some problem fields such as classification, regression, pattern recognition, etc. So far, many of the developed AIS algorithms have used a distance or similarity measure as the case in instance based learning (IBL) algorithms. The efficiency of IBL algorithms lies mainly in the weighting scheme they used. This weighting idea was taken as the objective of our study in that we used genetic algorithms to determine the weights of attributes and then used these weights in our previously developed Artificial Immune System (AWAIS). We evaluated the performance of new configuration (GA-AWAIS) on two medical datasets which were Statlog Heart Disease and BUPA Liver Disorders dataset. We also compared it with AWAIS for those problems. The obtained classification accuracy was very good with respect to both AWAIS and other common classifiers in literature.
Year
DOI
Venue
2009
10.1016/j.eswa.2007.09.063
Expert Syst. Appl.
Keywords
Field
DocType
effective problem solver,heart disease,problem field,ibl algorithm,genetic algorithm,classification accuracy,medical classification,classification bias,attribute weighting,liver disorders problem,bupa liver disorders dataset,genetic algorithms,artificial immune system,artificial immune systems,statlog heart disease,weighting scheme,ais algorithm,weighting idea,instance based learning,pattern recognition
Data mining,Artificial immune system,Weighting,Instance-based learning,Regression,Pattern recognition,Similarity measure,Computer science,Artificial intelligence,Solver,Genetic algorithm,Machine learning
Journal
Volume
Issue
ISSN
36
1
Expert Systems With Applications
Citations 
PageRank 
References 
26
1.64
9
Authors
2
Name
Order
Citations
PageRank
Seral Özsen1877.32
Salih Güneş2126778.53