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 data mining, there is no learning algorithm which attains the highest accuracy on any dataset. Multilevel arbiter and combiner arbiter are presented in this paper, as techniques to integrate classifiers induced from partitioned data, having as optimization criterion the accuracy of a given dataset. Experimental evaluations have shown that an arbiter tree can be found having similar or higher predictive...
Existing e-learning systems are based on the quantity of information. They fail to consider an important factor for the success of the system, namely the user. An intelligent adaptive system should adjust the content in order to ensure faster and better performances in the learning process. Moreover, it should help students to develop new, desirable learning abilities. This paper presents the intelligent...
High accuracy is essential to any data mining process. A large part of the factors which influence the success of a data mining problem reside in the quality of the data used. Feature selection represents one of the tools which can refine a dataset before presenting it to a learning scheme. This paper analyzes a wrapper approach for feature selection, with the purpose of boosting the classification...
Medical diagnosis and prognosis is an emblematic example for classification problems. Machine learning could provide invaluable support for automatically inferring diagnostic rules from descriptions of past cases, making the diagnosis process more objective and reliable. Since the problem involves both test and misclassification costs, we have analyzed ICET, the most prominent approach in the literature...
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.