Data Repository for Sensor Network : A Data Mining Approach
Srinivas Narasegouda · International Journal of Database Management Systems · 2014
The development of sensor data repositories will aid the researchers to create benchmark dataset.These benchmark dataset will provide a platform for all the researchers to access the data, test and compare the accuracy of their algorithms.However, the storage and management of sensor data itself is a challenging task due to various reasons such as noisy, redundant, missing, and faulty data.Therefore it is very important to create a data repository which contains the precise and accurate data and also storage and management of data is effective.Hence, in this paper we are proposing to use the combination of quantitative association rules and decision tree for classification of faulty data and normal data.Usage of multiple linear regression models for the estimation of missing data.A symbolic table approach for storage and management of sensor data.And development of a graphical user interface for visualization of sensor data.