The Infona portal uses cookies, i.e. strings of text saved by a browser on the user's device. The portal can access those files and use them to remember the user's data, such as their chosen settings (screen view, interface language, etc.), or their login data. By using the Infona portal the user accepts automatic saving and using this information for portal operation purposes. More information on the subject can be found in the Privacy Policy and Terms of Service. By closing this window the user confirms that they have read the information on cookie usage, and they accept the privacy policy and the way cookies are used by the portal. You can change the cookie settings in your browser.
This study proposes an efficient non-parametric classifier for bankruptcy prediction using an adaptive fuzzy k-nearest neighbor (FKNN) method, where the nearest neighbor k and the fuzzy strength parameter m are adaptively specified by the particle swarm optimization (PSO) approach. In addition to performing the parameter optimization for FKNN, PSO is utilized to choose the most discriminative subset...
For enhancing the service quality and efficiency of university, a feedback extraction method from BBS is employed. For reduce workload of data analysis, some commonly used technology of web data capture and Chinese automatic word-segment were employed in the process of data. For classification the data, a classification algorithm based on Find-Rate of feature words is presented. The results of experiment...
This paper presents a new wrapper-based feature selection method for multi-layer perceptrons (MLP) neural networks. It uses a feature ranking criterion to measure the importance of a feature by computing the aggregate difference, over the feature space, of the probabilistic outputs of the MLP with and without the feature. Thus, a score of importance with respect to every feature can be provided using...
Spam mail is bombing and causing a great problem, while there is still no appropriate counter-measures. After discussing some spam-filtering systems, this paper brings forward a spam-filtering system based on feature selection mechanism and improved SVM classification, system design, realization and evaluation is discussed following. Performance measure and experimental results are proved to outperform...
Set the date range to filter the displayed results. You can set a starting date, ending date or both. You can enter the dates manually or choose them from the calendar.