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.
One of the traditional ways for detecting dynamic communities is to find the communities at each interval through the static community detection algorithms. However, it usually leads to high computation complexity. In this paper, a novel algorithm based on the MapReduce model and the label propagation progress with the strategy of incremental related vertices is proposed, which is called PLPIRV (Parallel...
Matrix factorization techniques have been frequently applied in many fields. Among them, nonnegative matrix factorization (NMF) has received considerable attention for it aims to find a parts-based, linear representations of nonnegative data. Recently, many researchers propose various manifold learning algorithms to enhance learning performance by considering the local manifold smoothness assumption...
Social network mining technology and its implementation are the subject of much interest and difficulty in recent research. A framework of web-based social network search system is designed to carry out social network search. The paper presents a method to implement web downloader in order to obtain web documents containing social network information. Characteristic vector weight is calculated with...
In many applications like moving-objects and sensors databases, data values are inherently uncertain. In these systems, an attribute value can be modeled as a range of possible values, associated with a probability density function. Data mining of the uncertain data attracts more and more research interest recently. The definitions of probabilistic core object and probabilistic density-reachability...
The efficiency of alarm mining in large scale network is a hot topic in research area of fault location. Many projects have been utilized to improve it and some advance has been achieved, but it is still not very satisfied. Large scale telecom system daily generates large numbers of original alarm records and many of them are redundant information, actually useful information for fault location is...
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.