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.
Internet traffic classification is one of the key foundations for research works and traffic engineering in Internet. With the rapid increase of Internet applications and the number of Internet flow, the technique challenges are coupled with development of traffic classification all the time. Currently, the machine learning-based technique has attracted much attention, since it can address the issues...
Detecting community structure has become one important technique for studying complex networks. Although many community detection algorithms have been proposed, most of them focus on separated communities, where each node can belong to only one community. However, in many real-world networks, communities are often overlapped with each other. Developing overlapping community detection algorithms thus...
Large-scale radio environment data can provide good reference knowledge for self-organization based wireless networks, such as cognitive radio as well as heterogeneous network. However, it is usually difficult to obtain the data of real spectrum usage due to the constrains of radio monitor capability and cost. In this sense, we believe grass-root based spectrum data collection is important. In this...
Min-Max Modular Support Vector Machines (M3-SVM) is a well-known ensemble learning method. One of key problems for M3-SVM is to find a quick and effective method for data partition. This paper presents a new data partitioning method-BEK, which is based on the Bisecting K-means clustering with equalization function. BEK generally can get global optimal solution with low time complexity, and more importantly,...
The concept lattice, the core data structure in the formal concept analysis, has been used widely in machine learning, data mining, etc. In the formal concept analysis, researching on constructing the concept lattice efficiently is one of the important contents. This paper presents a new algorithm called IETreeCS (Concept Sets based on Intension and Extension Tree) based on the IE-Tree (Intension...
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.