Quality Skyline in Sensor Database

Data quality of sensor database is very important in industrial applications. An appropriate time period can improve the quality of result of high-level applications. In this paper we present a quality assessment and then give an algorithm to detect a quality skyline in a sensor dataset with stationary assumption. This algorithm returns an appropriate length of time period that query with a longer time period will get a result with stationary data quality.