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Querying and mining geo-textual data for exploration: Challenges and opportunities.

, , and . ICDE Workshops, page 165-168. IEEE Computer Society, (2016)

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SURGE: Continuous Detection of Bursty Regions Over a Stream of Spatial Objects., , , , and . IEEE Trans. Knowl. Data Eng., 32 (11): 2254-2268 (2020)Example-based Spatial Pattern Matching., , , and . Proc. VLDB Endow., 15 (11): 2572-2584 (2022)Knowledge-Enhanced Ensemble Learning for Word Embeddings., , , , and . WWW, page 427-437. ACM, (2019)The RLR-Tree: A Reinforcement Learning Based R-Tree for Spatial Data., , , , , and . Proc. ACM Manag. Data, 1 (1): 63:1-63:26 (2023)Querying and mining geo-textual data for exploration: Challenges and opportunities., , and . ICDE Workshops, page 165-168. IEEE Computer Society, (2016)Towards Best Region Search for Data Exploration., , , , and . SIGMOD Conference, page 1055-1070. ACM, (2016)Compressing Trajectory for Trajectory Indexing., and . ICCSE, page 68-71. ACM, (2017)Moving Target Defense in Preventing SQL Injection., , , and . ICAIS (4), volume 11635 of Lecture Notes in Computer Science, page 25-34. Springer, (2019)AnomalyLLM: Few-shot Anomaly Edge Detection for Dynamic Graphs using Large Language Models., , , , , , , and . CoRR, (2024)Experimental analysis and evaluation of cohesive subgraph discovery., , , , , , and . Inf. Sci., (2024)