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Optimizing Bipartite Matching in Real-World Applications by Incremental Cost Computation.

, , and . Proc. VLDB Endow., 14 (7): 1150-1158 (2021)

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Optimizing Bipartite Matching in Real-World Applications by Incremental Cost Computation., , and . Proc. VLDB Endow., 14 (7): 1150-1158 (2021)k-Nearest Neighbors on Road Networks: A Journey in Experimentation and In-Memory Implementation., , and . Proc. VLDB Endow., 9 (6): 492-503 (2016)K-SPIN: Efficiently Processing Spatial Keyword Queries on Road Networks., , and . IEEE Trans. Knowl. Data Eng., 32 (5): 983-997 (2020)K-SPIN: Efficiently Processing Spatial Keyword Queries on Road Networks : (Extended Abstract)., , and . ICDE, page 2036-2037. IEEE, (2020)k-Nearest Neighbors on Road Networks: Euclidean Heuristic Revisited., , and . SOCS, page 184-185. AAAI Press, (2018)Hierarchical Graph Traversal for Aggregate k Nearest Neighbors Search in Road Networks (Extended Abstract)., , and . IJCAI, page 4730-4734. ijcai.org, (2021)Bipartite Matching: What to do in the Real World When Computing Assignment Costs Dominates Finding the Optimal Assignment., , and . SIGMOD Rec., 51 (1): 51-58 (2022)Effectively Relocating Ride-Hailing Drivers Using A Markov Decision Process with Dynamic Sharding., , , and . MDM, page 70-72. IEEE, (2022)Hierarchical Graph Traversal for Aggregate k Nearest Neighbors Search in Road Networks., , and . ICAPS, page 2-10. AAAI Press, (2020)Efficient Landmark-Based Candidate Generation for kNN Queries on Road Networks., and . DASFAA (2), volume 10178 of Lecture Notes in Computer Science, page 425-440. Springer, (2017)