Scientific investigations have to deal with rapidly growing amounts of data from simulations and experiments. During data analysis, scientists typically want to extract subsets o...
Alexandru Romosan, Doron Rotem, Arie Shoshani, Der...
Data is routinely created, disseminated, and processed in distributed systems that span multiple administrative domains. To maintain accountability while the data is transformed b...
Estimation of distribution algorithms (EDAs) that use marginal product model factorizations have been widely applied to a broad range of, mainly binary, optimization problems. In ...
Many techniques have been proposed to scale web applications. However, the data interdependencies between the database queries and transactions issued by the applications limit th...
The goal of clustering is to identify distinct groups in a dataset. The basic idea of model-based clustering is to approximate the data density by a mixture model, typically a mix...