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发表于 2025-3-21 18:19:37
书目名称Databases Theory and Applications影响因子(影响力)<br> http://figure.impactfactor.cn/if/?ISSN=BK0263526<br><br> <br><br>书目名称Databases Theory and Applications影响因子(影响力)学科排名<br> http://figure.impactfactor.cn/ifr/?ISSN=BK0263526<br><br> <br><br>书目名称Databases Theory and Applications网络公开度<br> http://figure.impactfactor.cn/at/?ISSN=BK0263526<br><br> <br><br>书目名称Databases Theory and Applications网络公开度学科排名<br> http://figure.impactfactor.cn/atr/?ISSN=BK0263526<br><br> <br><br>书目名称Databases Theory and Applications被引频次<br> http://figure.impactfactor.cn/tc/?ISSN=BK0263526<br><br> <br><br>书目名称Databases Theory and Applications被引频次学科排名<br> http://figure.impactfactor.cn/tcr/?ISSN=BK0263526<br><br> <br><br>书目名称Databases Theory and Applications年度引用<br> http://figure.impactfactor.cn/ii/?ISSN=BK0263526<br><br> <br><br>书目名称Databases Theory and Applications年度引用学科排名<br> http://figure.impactfactor.cn/iir/?ISSN=BK0263526<br><br> <br><br>书目名称Databases Theory and Applications读者反馈<br> http://figure.impactfactor.cn/5y/?ISSN=BK0263526<br><br> <br><br>书目名称Databases Theory and Applications读者反馈学科排名<br> http://figure.impactfactor.cn/5yr/?ISSN=BK0263526<br><br> <br><br>
征服
发表于 2025-3-21 22:09:52
Naresh Polisetti,Nancy C. Joyceneighbour (NN), namely . and .. In this paper, we propose a new join query which is called . join query. Given two point datasets . and . of multidimensional objects, the . query retrieves for each point in . its all surrounding points in .. As a new spatial join query, we propose algorithms that ar
行乞
发表于 2025-3-22 04:22:31
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Collected
发表于 2025-3-22 08:12:46
Ashley M. Crane,Sanjoy K. Bhattacharyats. Differently than most existing works, we use the deviation from targeted pairwise correlation constraints as an objective to minimize in our problem. Moreover, we include users preferences as an objective in the form of maximizing similarity to users’ initial sub-intervals. The combination of th
树木中
发表于 2025-3-22 12:47:47
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anarchist
发表于 2025-3-22 13:52:56
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anarchist
发表于 2025-3-22 21:03:36
https://doi.org/10.1007/978-3-030-10696-6 Previous work such as [., ., .] has been proposed to answer the search. Such work typically measures the distance between trajectories and queries by the distance between query points and GPS points of trajectories. Such measurement could be inaccurate because those GPS points generated by some sam
记忆
发表于 2025-3-22 22:33:42
https://doi.org/10.1007/978-3-030-10696-6 and retrieval. Data-independent approaches (e.g., Locality Sensitive Hashing) normally construct hash functions using random projections, which neglect intrinsic data properties. To compensate this drawback, learning-based approaches propose to explore local data structure and/or supervised informa
多样
发表于 2025-3-23 02:58:30
https://doi.org/10.1007/978-3-319-52264-7eed, semantic label independence. Among the existing solutions, graph hashing makes a significant contribution as it could effectively preserve the neighbourhood data similarities into binary codes via spectral analysis. However, existing graph hashing methods separate graph construction and hashing
Asperity
发表于 2025-3-23 05:43:38
Vallendarer Schriften der Pflegewissenschaftal place for spreading rumors. Although different types of information are available in a post on social media, traditional approaches in rumor detection leverage only the text of the post, which limits their accuracy in detection. In this paper, we propose a provenance-aware approach based on recur