Download Now Free registration required
Uncertain or imprecise data are pervasive in applications like location-based services, sensor monitoring, and data collection and integration. For these applications, probabilistic databases can be used to store uncertain data, and querying facilities are provided to yield answers with statistical confidence. Given that a limited amount of resources is available to "Clean" the database (e.g., by probing some sensor data values to get their latest values), the authors address the problem of choosing the set of uncertain objects to be cleaned, in order to achieve the best improvement in the quality of query answers.
- Format: PDF
- Size: 674.45 KB