Cost Effective Approach on Feature Selection using Genetic Algorithms and LS-SVM Classifier

This work focuses on the problem of diagnosing the disease in the earlier stage by applying a selection technique based on genetic algorithm and least square support vector machines. The implementation of the technique analyses the accuracy of the classifier as well as the cost effectiveness in the implementation. This technique will help us to diagnose the disease with a limited number of test...

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Cost Effective Approach on Feature Selection using Genetic Algorithms and LS-SVM Classifier

This work focuses on the problem of diagnosing the disease in the earlier stage by applying a selection technique based on genetic algorithm and least square support vector machines. The implementation of the technique analyses the accuracy of the classifier as well as the cost effectiveness in the implementation. This technique will help us to diagnose the disease with a limited number of test...

متن کامل

Cost Effective Approach on Feature Selection using Genetic Algorithms and LS-SVM Classifier

This work focuses on the problem of diagnosing the disease in the earlier stage by applying a selection technique based on genetic algorithm and least square support vector machines. The implementation of the technique analyses the accuracy of the classifier as well as the cost effectiveness in the implementation. This technique will help us to diagnose the disease with a limited number of test...

متن کامل

Cost effective approach on feature selection using genetic algorithms and fuzzy logic for diabetes diagnosis

A way to enhance the performance of a model that combines genetic algorithms and fuzzy logic for feature selection and classification is proposed. Early diagnosis of any disease with less cost is preferable. Diabetes is one such disease. Diabetes has become the fourth leading cause of death in developed countries and there is substantial evidence that it is reaching epidemic proportions in many...

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SVM Classifier Incorporating Feature Selection Using GA for Spam Detection

The use of SVM (Support Vector Machines) in detecting e-mail as spam or nonspam by incorporating feature selection using GA (Genetic Algorithm) is investigated. An GA approach is adopted to select features that are most favorable to SVM classifier, which is named as GA-SVM. Scaling factor is exploited to measure the relevant coefficients of feature to the classification task and is estimated by...

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Cost Effective Approach on Feature Selection using Genetic Algorithms and LS-SVM Classifier

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Cost Effective Approach on Feature Selection using Genetic Algorithms and LS-SVM Classifier

Cost Effective Approach on Feature Selection using Genetic Algorithms and LS-SVM Classifier

Cost Effective Approach on Feature Selection using Genetic Algorithms and LS-SVM Classifier

Cost effective approach on feature selection using genetic algorithms and fuzzy logic for diabetes diagnosis

SVM Classifier Incorporating Feature Selection Using GA for Spam Detection

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