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Parallel Streaming Implementation of Online Time Series Correlation Discovery on Sliding Windows with Regression Capabilities.

, , , , , , and . CLOSER, page 681-687. SciTePress, (2019)

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Parallel Streaming Implementation of Online Time Series Correlation Discovery on Sliding Windows with Regression Capabilities., , , , , , and . CLOSER, page 681-687. SciTePress, (2019)Spark-parSketch: A Massively Distributed Indexing of Time Series Datasets., , , , , and . CIKM, page 1951-1954. ACM, (2018)Design and Implementation of the CloudMdsQL Multistore System., , , , , , and . CLOSER (1), page 352-359. SciTePress, (2016)ParCorr: efficient parallel methods to identify similar time series pairs across sliding windows., , , , , , and . Data Min. Knowl. Discov., 32 (5): 1481-1507 (2018)Distributed Algorithms to Find Similar Time Series., , , , , , , and . ECML/PKDD (3), volume 11908 of Lecture Notes in Computer Science, page 781-785. Springer, (2019)Integrating Big Data and Relational Data with a Functional SQL-like Query Language., , , and . DEXA (1), volume 9261 of Lecture Notes in Computer Science, page 170-185. Springer, (2015)Multistore Big Data Integration with CloudMdsQL., , , and . Trans. Large Scale Data Knowl. Centered Syst., (2016)Pipelined Implementation of a Parallel Streaming Method for Time Series Correlation Discovery on Sliding Windows., , , , , , and . DATA, page 431-436. SciTePress, (2019)Benchmarking polystores: The CloudMdsQL experience., , , , , and . IEEE BigData, page 2574-2579. IEEE Computer Society, (2016)Parallel query processing in a polystore., , , , , , and . Distributed Parallel Databases, 39 (4): 939-977 (2021)