A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2012; you can also visit the original URL.
The file type is
The VLDB journal
Uncertain data streams, where data are incomplete and imprecise, have been observed in many environments. Feeding such data streams to existing stream systems produces results of unknown quality, which is of paramount concern to monitoring applications. In this paper, we present the Claro system that supports stream processing for uncertain data naturally captured using continuous random variables. Claro employs a unique data model that is flexible and allows efficient computation. Built ondoi:10.1007/s00778-011-0261-7 fatcat:4gvauh4pkjgotkiuujwkjzndhi