Özellik seçimi, veri analizinde hazırlamak için uygulanan ön işlemlerden biridir. seçimi basitçe orijinal özellik kümesinden en uygun özelliklerin alt kümesinin seçim işlemidir. Bu yöntemler, setinde alakasız ve gereksiz bilgiyi belirlemeye kaldırmaya çalışır. çalışmada sınıf bilgisi kullanılarak değişim katsayısına dayalı yeni bir yöntemi önerilmiştir. Önerilen yönteminin etkinliği, gerçek set...

Background: Breast cancer is the second leading cause of cancer death in women, after lung cancer. Due to the importance of predicting this disease, the use of data mining methods in medical research is more significant than before. Data mining algorithms can be a great help in preventing the development of lymphedema in patients. The aim Of this study was to create a diagnosis system that can ...

background: myocardial infarction (mi) occurs due to heart muscle death that costs like human life, which is higher than the treatment costs. this study aimed to present an mi prediction model using classification data mining methods, which consider the imbalance nature of the problem. methods: we enrolled 455 healthy and 295 myocardial infarction cases of visitors to shahid madani specialized ...

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...

Recognition of characters greatly depends upon the features used. Several features of the handwritten Arabic characters are selected and discussed. An off-line recognition system based on the selected features was built. The system was trained and tested with realistic samples of handwritten Arabic characters. Evaluation of the importance and accuracy of the selected features is made. The recog...

Despite the “fuzzy” nature of musical similarity, which varies from one person to another, perceptual low level features combined with appropriate classification schemes have proven to perform satisfactorily for this task. Since a single feature only captures some selective characteristics of an audio signal, this information may, in some cases, not be sufficient to properly identify similariti...

As a part of our preparation for the 2004 NIST Speaker Recognition Evaluation, we evaluated the practical usefulness of five feature ranking and selection methods. Seeking for improvement of the overall performance of our speaker verification system, WCL-1, we studied the relevance and contribution of the individual speech parameters. Furthermore, the choice of an appropriate dimensionality of ...

Feature selection is of great importance in Quantitative Structure-Activity Relationship (QSAR) analysis. This problem has been solved using some meta-heuristic algorithms such as: GA, PSO, ACO, SA and so on. In this work two novel hybrid meta-heuristic algorithms i.e. Sequential GA and LA (SGALA) and Mixed GA and LA (MGALA), which are based on Genetic algorithm and learning automata for QSAR f...