Continuous Sensor Data Mining Model and System Design

Abstract

The sensor data, which is inputted from sensor network, is stream data having continuous and infinite properties. The previous data mining techniques canpsilat directly be used in the sensor data mining because of these properties of sensor data. Also, most of application services in the sensor network are only event alert services which perceive the events from sensors and alert the events to the supervisor. In this paper, we define continuous sensor data mining model and design a system based on the model. The system can service useful knowledge by continuous sensor data mining using gathered data from sensor in the sensor network. First, we classify sensor data to the three data types, which are each simple sensor data, continuous sensor data, and sensor event data, and define sensor data mining models about outlier analysis, pattern analysis, and prediction analysis. After the definition of model, we design a system which can be used in application services like u-Silvercare, Sea Ranching Program, City Environment Management, etc., based on these mining models in sensor network environment.