Motion 发表于 2025-3-21 17:43:29

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intention 发表于 2025-3-21 21:10:44

General Purpose Index-Based Method for Efficient MaxRS Queryod solves it in time . for a particular given rectangle size. This is inefficient in cases where the queries are frequently called with different parameters. Thus, in this paper, we propose an index-based method that solves the maxRS query in time . for any given query. Besides, our method can be us

Rodent 发表于 2025-3-22 03:01:09

An Efficient Method for Identifying MaxRS Location in Mobile Ad Hoc Networksg of nodes which hold data items with scores and location information. A query originating node issues a MaxRS query with a size of a rectangle. Then, it retrieves the location of the rectangle which maximizes the sum of the scores of all data items covered by the rectangle (MaxRS location). We can

发表于 2025-3-22 06:21:23

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昏暗 发表于 2025-3-22 09:24:38

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Invigorate 发表于 2025-3-22 15:24:40

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Invigorate 发表于 2025-3-22 18:49:16

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Clumsy 发表于 2025-3-22 22:39:47

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inflate 发表于 2025-3-23 04:39:57

Modeling Information Diffusion via Reputation Estimationffusion process in the near future. Although this problem has been extensively studied, the challenge of how to effectively combine user activities, network structures and diffused information in social data remains largely open. In addition, no prior work judged the effect of user reputation on the

Decongestant 发表于 2025-3-23 05:55:46

Mining Arbitrary Shaped Clusters and Outputting a High Quality Dendrograme existing HC algorithms focus on either the quality of the dendrogram or the ability of mining arbitrary shaped clusters. To address the above two aspects simultaneously, we present HICMEN by adopting (1) the classic agglomerative clustering framework that can generate a complete dendrogram, and (2
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查看完整版本: Titlebook: Database and Expert Systems Applications; 27th International C Sven Hartmann,Hui Ma Conference proceedings 2016 Springer International Publ