Data mining is related to large number of databases. Dealing with such large number of datasets may create some obstacles. Such problems can be avoided by using feature selection Technique. Feature selection Technique is a method which selects an optimal subset from original feature set. The implementation is done by removing repetitive features. The underlying structure has been neglected by t...

objectives: genetic polymorphism interactions are among the important factors in affliction with complex diseases like alzheimer’s disease. the important goal of genetic association studies is to identify a combination of polymorphisms and measure their importance in increasing the risk of occurrence of such diseases. in this study, feature selection approach of logic regression was used to ide...

Introduction: The early diagnosis of breast cancer as prevalent cancer among women, is a necessity in the research on cancers since it could simplify the clinical management of other patients. The importance of the classification of breast cancer patients into high- or low-risk groups has led research groups in the biomedical and informatics departments to evaluate and use computer techniques s...

Introduction: The early diagnosis of breast cancer as prevalent cancer among women, is a necessity in the research on cancers since it could simplify the clinical management of other patients. The importance of the classification of breast cancer patients into high- or low-risk groups has led research groups in the biomedical and informatics departments to evaluate and use computer techniques s...

In recent years, there have been numerous cyber security issues that caused considerable damage to the society. The development of efficient and reliable Intrusion Detection Systems (IDSs) is an effective countermeasure against growing threats. modern high-bandwidth, large-scale network environments, traditional IDSs suffer from a high rate missed false alarms. Researchers introduced machine le...

In this paper, principles and existing feature selection methods for classifying and clustering data be introduced. To that end, categorizing frameworks for finding selected subsets, namely, search-based and non-search based procedures as well as evaluation criteria and data mining tasks are discussed. In the following, a platform is developed as an intermediate step toward developing an intell...

In this paper, a novel neuro-fuzzy based method combined with a feature selection technique is proposed for online dynamic voltage stability status prediction of power system. This technique uses synchronized phasors measured by phasor measurement units (PMUs) in a wide-area measurement system. In order to minimize the number of neuro-fuzzy inputs, training time and complication of neuro-fuzzy ...