In this demo, we present Nile-PDT, a Phenomenon Detection and Tracking framework using the Nile data stream management system. A phenomenon is characterized by a group of streams ...
Mohamed H. Ali, Walid G. Aref, Raja Bose, Ahmed K....
Stream applications gained significant popularity over the last years that lead to the development of specialized stream engines. These systems are designed from scratch with a di...
Supporting continuous mining queries on data streams requires algorithms that (i) are fast, (ii) make light demands on memory resources, and (iii) are easily to adapt to concept dr...
Abstract— Previous work has introduced probability distributions as first-class components in uncertain stream database systems. A lacking element is the fact of how accurate the...
Abstract. We are witnessing a dramatic increase in the use of datacentric distributed systems such as global grid infrastructures, sensor networks, network monitoring, and various ...