Fast Algorithms for Mining Association Rules in Large Databases
VLDB '94 Proceedings of the 20th International Conference on Very Large Data Bases
Adaptive filters for continuous queries over distributed data streams
Proceedings of the 2003 ACM SIGMOD international conference on Management of data
Ad Hoc Wireless Networks: Architectures and Protocols
Ad Hoc Wireless Networks: Architectures and Protocols
Wireless Sensor Networks: An Information Processing Approach
Wireless Sensor Networks: An Information Processing Approach
Adaptive stream resource management using Kalman Filters
SIGMOD '04 Proceedings of the 2004 ACM SIGMOD international conference on Management of data
MSWiM '04 Proceedings of the 7th ACM international symposium on Modeling, analysis and simulation of wireless and mobile systems
Vehicle classification in distributed sensor networks
Journal of Parallel and Distributed Computing
Data Mining: Concepts and Techniques
Data Mining: Concepts and Techniques
Streaming pattern discovery in multiple time-series
VLDB '05 Proceedings of the 31st international conference on Very large data bases
Approximate Data Collection in Sensor Networks using Probabilistic Models
ICDE '06 Proceedings of the 22nd International Conference on Data Engineering
Model-driven data acquisition in sensor networks
VLDB '04 Proceedings of the Thirtieth international conference on Very large data bases - Volume 30
Using Data Mining to Estimate Missing Sensor Data
ICDMW '07 Proceedings of the Seventh IEEE International Conference on Data Mining Workshops
A Novel Algorithm for Mining Association Rules in Wireless Ad Hoc Sensor Networks
IEEE Transactions on Parallel and Distributed Systems
Estimating missing data in data streams
DASFAA'07 Proceedings of the 12th international conference on Database systems for advanced applications
Intrusion detection in Gaussian distributed heterogeneous wireless sensor networks
GLOBECOM'09 Proceedings of the 28th IEEE conference on Global telecommunications
PAQ: time series forecasting for approximate query answering in sensor networks
EWSN'06 Proceedings of the Third European conference on Wireless Sensor Networks
The design space of wireless sensor networks
IEEE Wireless Communications
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Wireless Sensor Networks (WSNs) have attracted many researchers in the past few years due to their applicability for a wide-range of applications. WSNs rely on unreliable sensing schemes in which a sensor might lose some data due to the inherent characteristics of such networks. Estimating missing values that cope with other collected ones is crucial for some applications. In this paper, we introduced a framework dedicated to predicting missing values in WSNs. The key idea is to estimate missing values according to the natural spread (i.e. dispersion) of the guilty sensors. The framework considers cases in which distance and time play a significant role in estimating missing values. Thus, accurate values might be generated as compared to state-of-the-art central tendency measurements such as mean, median, mode, and midrange.