With the continuous development of Internet technology, role software in life is increasing, and defect prediction (SDP) a key means to ensure reliability. SDP predict modules that may have defects advance based on historical data projects, its purpose maximize use testing resources. However, actual process, project needs be predicted often new for which there little or no data. Therefore, how ...

Essential proteins are important participants in various life activities and play a vital role the survival reproduction of life. The network-based centrality methods common way to identify essential for protein interaction networks. Due differences between existing methods, it is feasible approach improve identification accuracy by combining methods. In this paper, we propose combination metho...

In this paper, a novel method is proposed to build an ensemble of classifiers by using a feature selection schema. The feature selection schema identifies the best feature sets that affect the arrhythmia classification. Firstly, a number of feature subsets are extracted by applying the feature selection schema to the original dataset. Then classification models are built by using the each featu...

The Classification are carried out using various feature selection technique. The feature selection methods allows the classification to be carried out more accurately and efficiently. Feature selection is one of the leading trends in the research work going on. There are various feature selection methods which are used along with the classification methods. According to the application the mos...

in this paper we propose a new method for classification of subjects into schizophrenia and control groups using functional magnetic resonance imaging (fmri) data. in the preprocessing step, the number of fmri time points is reduced using principal component analysis (pca). then, independent component analysis (ica) is used for further data analysis. it estimates independent components (ics) of...