This paper presents an efficient algorithm for learning Bayesian belief networks from databases. The algorithm takes a database as input and constructs the belief network structur...
Most peer-to-peer (P2P) networks proposed until now have either logarithmic degree and logarithmic dilation or constant degree and logarithmic dilation. In the latter case (which i...
Topographic querying is the process of extracting data from a sensor network for understanding the graphic delineation of features of interest in a terrain. Query processing techn...
The issue of transport capacity of a randomly deployed wireless network under random (c, f ) channel assignment was considered by us in [1]. We showed in [1] that when the number ...
Abstract—We are interested in topological analysis and processing of the large-scale distributed data generated by sensor networks. Naturally a large-scale sensor network is depl...