fast sffs-based algorithm for feature selection in biomedical datasets
نویسندگان
چکیده
biomedical datasets usually include a large number of features relative to the number of samples. however, some data dimensions may be less relevant or even irrelevant to the output class. selection of an optimal subset of features is critical, not only to reduce the processing cost but also to improve the classification results. to this end, this paper presents a hybrid method of filter and wrapper feature selection that takes advantage of a modified method of sequential forward floating search (sffs) algorithm. the filtering approach evaluates the features for predicting the output and complementing the other features. the candidate subset generated by the filtering approach is used by k-fold cross validation of support vector machine (svm) with user-defined classification margin as a wrapper. applications of the proposed sffs method to five biomedical datasets illustrate its superiority in terms of classification accuracy and execution time relative to the conventional sffs method and another previously improved sffs method.
منابع مشابه
Fast SFFS-Based Algorithm for Feature Selection in Biomedical Datasets
Biomedical datasets usually include a large number of features relative to the number of samples. However, some data dimensions may be less relevant or even irrelevant to the output class. Selection of an optimal subset of features is critical, not only to reduce the processing cost but also to improve the classification results. To this end, this paper presents a hybrid method of filter and wr...
متن کاملFeature selection using genetic algorithm for breast cancer diagnosis: experiment on three different datasets
Objective(s): This study addresses feature selection for breast cancer diagnosis. The present process uses a wrapper approach using GA-based on feature selection and PS-classifier. The results of experiment show that the proposed model is comparable to the other models on Wisconsin breast cancer datasets. Materials and Methods: To evaluate effectiveness of proposed feature selection method, we ...
متن کاملA Parallel Genetic Algorithm Based Method for Feature Subset Selection in Intrusion Detection Systems
Intrusion detection systems are designed to provide security in computer networks, so that if the attacker crosses other security devices, they can detect and prevent the attack process. One of the most essential challenges in designing these systems is the so called curse of dimensionality. Therefore, in order to obtain satisfactory performance in these systems we have to take advantage of app...
متن کاملMeasuring Stability of Feature Selection in Biomedical Datasets
An important step in the analysis of high-dimensional biomedical data is feature selection. Typically, a feature subset selected by a feature selection method is evaluated for relevance towards a task such as prediction or classification. Another important property of a feature selection method is stability that refers to robustness of the selected features to perturbations in the data. In biom...
متن کاملfeature selection using genetic algorithm for breast cancer diagnosis: experiment on three different datasets
objective(s): this study addresses feature selection for breast cancer diagnosis. the present process uses a wrapper approach using ga-based on feature selection and ps-classifier. the results of experiment show that the proposed model is comparable to the other models on wisconsin breast cancer datasets. materials and methods: to evaluate effectiveness of proposed feature selection method, we ...
متن کاملA Parallel Genetic Algorithm Based Method for Feature Subset Selection in Intrusion Detection Systems
Intrusion detection systems are designed to provide security in computer networks, so that if the attacker crosses other security devices, they can detect and prevent the attack process. One of the most essential challenges in designing these systems is the so called curse of dimensionality. Therefore, in order to obtain satisfactory performance in these systems we have to take advantage of app...
متن کاملمنابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
عنوان ژورنال:
amirkabir international journal of electrical & electronics engineeringناشر: amirkabir university of technology
ISSN 2008-6075
دوره 45
شماره 2 2013
میزبانی شده توسط پلتفرم ابری doprax.com
copyright © 2015-2023