Data stream processing systems have become ubiquitous in academic and commercial sectors, with application areas that include financial services, network traffic analysis, battlef...
Management and analysis of streaming data has become crucial with its applications in web, sensor data, network traffic data, and stock market. Data streams consist of mostly nume...
Uncertain data arises in a number of domains, including data integration and sensor networks. Top-k queries that rank results according to some user-defined score are an important...
Sources of data uncertainty and imprecision are numerous. A way to handle this uncertainty is to associate probabilistic annotations to data. Many such probabilistic database mode...
— With the deployment of large, distributed networks of cameras and other sensors, it is becoming necessary to also address the issue of how to effectively present the large vol...