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Scalable Top-n Local Outlier Detection., , and . KDD, page 1235-1244. ACM, (2017)ATLANTIC: Making Database Differentially Private and Faster with Accuracy Guarantee., , , , and . Proc. VLDB Endow., 14 (12): 2755-2758 (2021)AutoOD: Automatic Outlier Detection., , , , and . Proc. ACM Manag. Data, 1 (1): 20:1-20:27 (2023)Analysis of Energy Consumption of Deduplication in Storage Systems., and . CyberC, page 295-301. IEEE Computer Society, (2015)Outlier Summarization via Human Interpretable Rules., , , , , , , and . Proc. VLDB Endow., 17 (7): 1591-1604 (March 2024)SWIFT: Mining Representative Patterns from Large Event Streams., , , and . Proc. VLDB Endow., 12 (3): 265-277 (2018)A Demonstration of AutoOD: A Self-tuning Anomaly Detection System., , , , , , and . Proc. VLDB Endow., 15 (12): 3706-3709 (2022)Distributed Top-N local outlier detection in big data., , and . IEEE BigData, page 827-836. IEEE Computer Society, (2017)A Heuristics Approach for Reducing Power Consumption of Cloud Data Center., , , and . GreenCom/iThings/CPScom, page 246-253. IEEE, (2013)Continuously Adaptive Similarity Search., , , , and . SIGMOD Conference, page 2601-2616. ACM, (2020)