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Handling Shared, Mutable State in Stream Processing with Correctness Guarantees.

, , , , , , , and . IEEE Data Eng. Bull., 38 (4): 94-104 (2015)

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Greenhouse: A Zero-Positive Machine Learning System for Time-Series Anomaly Detection., , , , and . CoRR, (2018)Interactive Search and Exploration of Waveform Data with Searchlight., , and . SIGMOD Conference, page 2105-2108. ACM, (2016)Handling Shared, Mutable State in Stream Processing with Correctness Guarantees., , , , , , , and . IEEE Data Eng. Bull., 38 (4): 94-104 (2015)Monitoring Streams: A New Class of Data Management Applications, , , , , , , , and . VLDB '02: Proceedings of the 28th international conference on Very Large Data Bases, page 215--226. VLDB Endowment, (2002)Metro-Viz: Black-Box Analysis of Time Series Anomaly Detectors., , , , and . CHI Extended Abstracts, ACM, (2019)A New Model for Evaluating Range-Based Anomaly Detection Algorithms., , , and . CoRR, (2018)Visual Exploration of Time Series Anomalies with Metro-Viz., , , and . SIGMOD Conference, page 1901-1904. ACM, (2019)An Optimal Relational Database Encryption Scheme., , , and . IACR Cryptology ePrint Archive, (2020)FastDAWG: Improving Data Migration in the BigDAWG Polystore System., , , , and . Poly/DMAH@VLDB, volume 11470 of Lecture Notes in Computer Science, page 3-15. Springer, (2018)Integrating real-time and batch processing in a polystore., , , , , , and . HPEC, page 1-7. IEEE, (2016)