The top-k similarity joins have been extensively studied and used
in a wide spectrum of applications such as information retrieval, decision
making, spatial data analysis and dat...
Traditional machine learning makes a basic assumption: the training and test data should be under the same distribution. However, in many cases, this identicaldistribution assumpt...
The increasing economical, ecological and social significance of information systems (IS) demands reorientation for IS management. Ever-growing energy consumption, waste streams, ...
While deciphering the Enigma Code during World War II, I.J. Good and A.M. Turing considered the problem of estimating a probability distribution from a sample of data. They derive...
—The rapid advances in a wide range of wireless access technologies along with an industry-wide IP-convergence have set up the stage for context-aware computing. The “locationâ...