In k-means clustering we are given a set of n data points in d-dimensional space d and an integer k, and the problem is to determine a set of k points in d , called centers, to mi...
Tapas Kanungo, David M. Mount, Nathan S. Netanyahu...
Information requirements analysis for data warehouse systems differs significantly from requirements analysis for conventional information systems. Based on interviews with projec...
Reducing management costs and improving the availability of large-scale distributed systems require automatic replica regeneration, i.e., creating new replicas in response to repl...
for ideas, and then abstract away from these ideas to produce algorithmic processes that can create problem solutions in a bottom-up manner. We have previously described a top-dow...
The Murϕ-based Hopper tool is a general purpose explicit model checker. Hopper leverages Murϕ’s class structure to implement new algorithms. Hopper differs from Murϕ in that i...