In the current knowledge age, with the continuous growth of the web data volume and where business decisions must be made quickly, traditional BI mechanisms become increasingly inaccurate in order to help the decision-making ...

The use of mobile devices to browse the Web has become increasingly popular as a consequence of easy access to the Internet. However, moving from the desktop development to the mobile platform features, requests from ...

Knowledge representation process is an essential matter regarding Computer Music systems. Methods have been applied in order to provide computers with the capability to generate conclusions based on experience in specialized ...

Before buying a product or choosing for a trip destination, people often seek other people’s opinions to obtain a vision of the quality of what they want to acquire. Given that, opinions always had great influence on the ...

Since the emergence of the Software-Defined Networking (SDN), and, more precisely, since the development of an open interface in 2008 called OpenFlow protocol, it is being observed that this new networking paradigm is ...

Data and text mining applications managing Web data have been the subject of recent research. In every case, data mining tasks need to work on clean, consistent, and integrated data for obtaining the best results. Thus, ...

Let G = (V, E) be a simple and undirected graph. An edge-coloring is an assignment of colors to the edges of the graph such that any two adjacent edges receive different colors. The chromatic index of a graph G is the ...

One of the major issues in Data Center Networks (DCNs) is related to elephant flows. These flows typically are primarily responsible for network congestion, causing impacts on applications that are intolerant to delays. ...

Dynamics of automatic vehicle movement (Automatic Guided Vehicle), its associated with your control system, and the adoption of traditional control techniques, whose parameter and tuning are performed based on linear ...

For the last decades, many Machine Learning methods have been proposed aiming categorizing data. Given many tentative models, those methods try to find the one that fits the dataset by building a hypothesis that predicts ...