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 recent years, the use of machine learning methods to deal with the problem of user interest prediction has become a hot research direction in the field of electronic commerce. In the present stage, a naive Bayesian algorithm has the advantages of simple implementation and high classification efficiency. However, this method is too dependent on the distribution of samples in the sample space, and...
Changes in the network topology such as large-scale power outages or Internet worm attacks are events that may induce routing information updates. Border Gateway Protocol (BGP) is by Autonomous Systems (ASes) to address these changes. Network reachability information, contained in BGP update messages, is stored in the Routing Information Base (RIB). Recent BGP anomaly detection systems employ machine...
A novel P2P traffic identification method based on the combination of naive Bayes and decision tables is proposed, which uses Fast Correlation-Based Filter (FCBF) algorithm to extract P2P flow characteristics, and utilises six DTNB (combination of naive Bayes and decision tables) combined with dynamic weighted integration method to set up a P2P flow detection model. Through experimental comparison...
In this paper, we analyze and compare various approaches for Thai word segmentation. The word segmentation approaches could be classified into two distinct types, dictionary based (DCB) and machine learning based (MLB). The DCB approach relies on a set of terms for parsing and segmenting input texts. Whereas the MLB approach relies on a model trained from a corpus by using machine learning techniques...
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.