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.
In this paper, a novel method, KFP-SVM, of generating synthetic samples with kernel model is proposed to deal with imbalanced data sets. In this method, the majority samples are selected by removing those points which invade the minority samples, and the minority samples are mapped into a high-dimension space with a kernel function which is called kernel space. Then the distance of the minority samples...
When dealing with the imbalanced datasets (IDS), the hyperplane of Support vector machine (SVM) tends to minority class (positive class), which causes low classification accuracy. Aiming at this problem, we propose a novel differential evolution-clustering hybrid resampling SVM algorithm (DEC-SVM). This algorithm utilizes the similar mutation and crossover operators of Differential Evolution (DE)...
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.