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Titlebook: Advances in Spatial and Temporal Databases; 15th International S Michael Gertz,Matthias Renz,Siva Ravada Conference proceedings 2017 Spring

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樓主: Lensometer
51#
發(fā)表于 2025-3-30 12:11:17 | 只看該作者
Indexing the Pickup and Drop-Off Locations of NYC Taxi Trips in PostgreSQL – Lessons from the Roade experimental evaluation results and highlights the key insights and lessons learned. The results emphasize the fact that there is no one size that fits all when it comes to indexing massive-scale spatial data. The results also prove that modern database systems can maintain a lightweight index (in
52#
發(fā)表于 2025-3-30 15:53:28 | 只看該作者
53#
發(fā)表于 2025-3-30 16:59:38 | 只看該作者
54#
發(fā)表于 2025-3-31 00:14:55 | 只看該作者
Top-, Taxi Recommendation in Realtime Social-Aware Ridesharing Services well as algorithms to find feasible cases efficiently. We evaluate our proposals using a real taxi dataset from New York City. Experimental results demonstrate the efficiency and scalability of the proposed taxi recommendation solution in real-time social-aware ridesharing services.
55#
發(fā)表于 2025-3-31 02:28:26 | 只看該作者
56#
發(fā)表于 2025-3-31 08:11:30 | 只看該作者
Grid-Based Colocation Mining Algorithms on GPU for Big Spatial Event Data: A Summary of Resultshich is economically expensive, and their reducer nodes have a bottleneck of aggregating all instances of the same colocation patterns. Another work proposes a parallel colocation mining algorithm on GPU based on the iCPI tree and the joinless approach, but assumes that the number of neighbors for e
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