The similarity search mechanism consists of two phases, the similarity search query resolving phase and the query probing phase. The query resolving phase ...
Jan 15, 2011 · SSA successfully avoids the need of collecting data from all sensors in the network in searching for the most similar data item. The performance ...
In this paper, we propose a similarity search algorithm (SSA), which is a novel framework based on the concept of Hilbert curve over a data-centric storage ...
In this paper, we propose a similarity search algorithm (SSA), which is a novel framework based on the concept of Hilbert curve over a data-centric storage ...
In this paper, we propose a similarity search algorithm (SSA), which is a novel framework based on the concept of Hilbert curve over a data-centric storage ...
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Mar 5, 2015 · ... reveal that DCSMSS is highly efficient and significantly outperforms previous approaches in processing similarity search queries.
Chung, Y.C.; Su, I.F.; Lee, C. An efficient mechanism for processing similarity search queries in sensor networks. Inf. Sci. 2011, 181, 284–307. [Google ...
Abstract—We propose a novel and efficient mechanism for obtaining information in sensor networks which we refer to as. ACQUIRE. In ACQUIRE an active query ...
An efficient mechanism for processing similarity search queries in sensor networks ... The similarity search problem has received considerable attention in ...
We develop an in-memory distributed system for similarity query processing over in-memory distributed spatial data. Overall, we believe these specific ...
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