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Wireless sensor networks are becoming increasingly popular for a variety of applications. ... In this paper we introduce an in-network outlier detection framework, based on locality sensitive hashing, extended with a novel boosting process as well as efficient load balancing and comparison pruning ... In this paper we propose a novel outlier detection scheme termed TACO (TACO stands for Tunable Approximate Computation of Outliers). TACO adopts two levels of hashing mechanisms. ...doi:10.1145/1807167.1807199 dblp:conf/sigmod/GiatrakosKDVT10 fatcat:4rnisys3kjhpte4cbei5g2ehuy
In this paper we present a novel outlier detection scheme termed TACO (TACO stands for Tunable Approximate Computation of Outliers). TACO  adopts two levels of hashing mechanisms. ... Wireless sensor networks are becoming increasingly popular for a variety of applications. ... Conclusions and Future Work In this paper we presented TACO, a framework for detecting outliers in wireless sensor networks. ...doi:10.1016/j.is.2011.08.005 fatcat:tazckypci5hf3gt6zipejfxwvy
When the number of data generating sensors increases and the amount of sensing data grows to a scale that traditional methods cannot handle, big data methods are needed for sensing applications. ... , serve as foundations and bases of big data in the world of sensing. ... Conflict of Interests The authors declare that there is no conflict of interests regarding the publication of this paper. Acknowledgment This work is supported by the NSF Grant CNS-1503590. ...doi:10.1155/2015/902982 fatcat:glpaj5hudfc57elhnwbnbewa7y