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Medoid Queries in Large Spatial Databases.

, , and . SSTD, volume 3633 of Lecture Notes in Computer Science, page 55-72. Springer, (2005)

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Applying Spatial Database Techniques to Other Domains: a Case Study on Top-k and Computational Geometric Operators.. GeoRich@SIGMOD, page 25-26. ACM, (2018)Continuous Monitoring of Spatial Queries.. Encyclopedia of Database Systems, Springer US, (2009)Creating Top Ranking Options in the Continuous Option and Preference Space., , , and . Proc. VLDB Endow., 12 (10): 1181-1194 (2019)On m-Impact Regions and Standing Top-k Influence Problems., , and . SIGMOD Conference, page 1784-1796. ACM, (2021)Determining the Impact Regions of Competing Options in Preference Space., , and . SIGMOD Conference, page 805-820. ACM, (2017)Constrained Shortest Path Computation., , , and . SSTD, volume 3633 of Lecture Notes in Computer Science, page 181-199. Springer, (2005)Efficient Evaluation of Multiple Preference Queries., , and . ICDE, page 1251-1254. IEEE Computer Society, (2009)Best Upgrade Plans for Large Road Networks., and . SSTD, volume 8098 of Lecture Notes in Computer Science, page 223-240. Springer, (2013)How to Avoid Jumping to Conclusions: Measuring the Robustness of Outstanding Facts in Knowledge Graphs., , , , , and . KDD, page 3539-3550. ACM, (2024)Heuristic Algorithms for Balanced Multi-Way Number Partitioning., , and . IJCAI, page 693-698. IJCAI/AAAI, (2011)