Uncertain data have already widely existed in many practical applications recently, such as
sensor networks, RFID networks, location-based services, and mobile object management …

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 …

Uncertain data streams, where data is incomplete, imprecise, and even misleading, have
been observed in many environments. Feeding such data streams to existing stream …

We present the design and development of a data stream system that captures data
uncertainty from data collection to query processing to final result generation. Our system …

Large-scale spatial data have been generated in various fields such as scientific domains
and location-based services. Array databases, which model a space as an array, have …

In this paper, we propose an integrated caregiver-focused framework that aims to provide a
health care and a fall detection service for elderly users. The proposed system looks at the …

Uncertain data streams are increasingly common in real-world deployments and monitoring
applications require the evaluation of complex queries on such streams. In this paper, we …

Uncertain data streams are ubiquitous in many sensing and networking environments.
Probabilistic aggregate query that returns a probability distribution to denote possible …

Dynamic data streams are those whose underlying distribution changes over time. They
occur in a number of application domains, and mining them is important for these …

Uncertain data is common in many emerging applications. In this chapter, we start by
surveying a few applications in sensor networks, ubiquitous computing, and scientific …