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Graph structures are often used for representingdata object and link between them in large datasets. Knowledge extraction from these data relies on finding the connected components within these graphs. Given a large graph G = (V, E), where V is the set of vertices and E is the set of edges, the problem is to find the connected components efficiently. The problem offinding the connected components...
Cognitive radio networks (CRNs) enable cognitive users (CUs equipped with spectrum sensing) access the underutilized spectrum licensed to primary users (PUs) without causing unacceptable interference to the PUs' activities. On appearance of PUs, the available channel of CUs at different position may have different available channels which changes dynamically over time. Due to temporal and spatial...
Nowadays, Hadoop is massively used to store large data generated by various sources. These data are often represented in large scale graphs to solve real world problems. To compute those data, many Bulk Synchronous Parallel(BSP) model based graph processing systems are available on top of hadoop such as Pregel and Stanford: Graph Processing System (GPS). The problem of graph coloring is to assign...
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.