我邪恶
发表于 2025-3-30 09:15:43
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CODA
发表于 2025-3-30 16:02:29
Chinese Wisdom and Chinese Approaches,pattern with negation. We show that .¬ can identify a large query class to guarantee the I/O optimality. Finally, we run extensive experiments that validate our algorithm and show the efficiency and effectiveness of .¬.
GEM
发表于 2025-3-30 19:27:23
The Decline of ‘National Interests’mmonly used aggregation results in the sensor network. With MINVs, aggregated sensed results for some spatial regions are available and sharable to queries. Thus, the number of sensor accesses is greatly reduced. Through simulations, we validate the effectiveness of proposed strategies.
表主动
发表于 2025-3-30 20:46:34
Constructing Identities at Workenergy efficiency. In this paper, we propose a distributed scheme called DNN for in-network processing of nearest neighbor queries. A cost model is built to analyze the performance of DNN. Experimental results show that DNN outperforms the centralized scheme significantly in terms of energy consumption and network lifetime.
谈判
发表于 2025-3-31 04:31:27
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Salivary-Gland
发表于 2025-3-31 05:19:32
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破译
发表于 2025-3-31 09:53:04
Jarmila Novotná,Bernard Sarrazyrofiles and the support of frequent pattern can be estimated fairly accurately from a relative small number of profiles. Empirical studies show that our method can achieve compact and accurate summarization in real-life data and the support of frequent patterns can be restored much more accurately than the previous method.
definition
发表于 2025-3-31 13:36:59
Processing Multiple Aggregation Queries in Geo-Sensor Networksmmonly used aggregation results in the sensor network. With MINVs, aggregated sensed results for some spatial regions are available and sharable to queries. Thus, the number of sensor accesses is greatly reduced. Through simulations, we validate the effectiveness of proposed strategies.
无节奏
发表于 2025-3-31 20:03:26
In-Network Processing of Nearest Neighbor Queries for Wireless Sensor Networksenergy efficiency. In this paper, we propose a distributed scheme called DNN for in-network processing of nearest neighbor queries. A cost model is built to analyze the performance of DNN. Experimental results show that DNN outperforms the centralized scheme significantly in terms of energy consumption and network lifetime.
即席
发表于 2025-4-1 00:15:42
DAPSS: Exact Subsequence Matching for Data Streamse and (2) the compressed data of the original sequences in the disk space. Experiments on synthetic and real data sets show that DAPSS is significantly (up to 35 times) faster than the naive method while it guarantees the correctness of query results.