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Refinado por: tipo de recurso: Anais de Congresso remover
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1
Cold Filter: A Meta-Framework for Faster and More Accurate Stream Processing
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Cold Filter: A Meta-Framework for Faster and More Accurate Stream Processing

Zhou, Yang ; Yang, Tong ; Jiang, Jie ; Cui, Bin ; Yu, Minlan ; Li, Xiaoming ; Uhlig, Steve

Proceedings of the 2018 International Conference on Management of Data, 2018, p.741-756

New York, NY, USA: ACM

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2
Wadjet: Finding Outliers in Multiple Multi-Dimensional Heterogeneous Data Streams
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Wadjet: Finding Outliers in Multiple Multi-Dimensional Heterogeneous Data Streams

Sadik, Shiblee ; Gruenwald, Le ; Leal, Eleazar

2018 IEEE 34th International Conference on Data Engineering (ICDE), 2018, p.1232-1235

IEEE

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3
Structured Streaming: A Declarative API for Real-Time Applications in Apache Spark
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Structured Streaming: A Declarative API for Real-Time Applications in Apache Spark

Armbrust, Michael ; Das, Tathagata ; Torres, Joseph ; Yavuz, Burak ; Zhu, Shixiong ; Xin, Reynold ; Ghodsi, Ali ; Stoica, Ion ; Zaharia, Matei

Proceedings of the 2018 International Conference on Management of Data, 2018, p.601-613

New York, NY, USA: ACM

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4
Probabilistic lossy counting: an efficient algorithm for finding heavy hitters
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Probabilistic lossy counting: an efficient algorithm for finding heavy hitters

Dimitropoulos, Xenofontas ; Hurley, Paul ; Kind, Andreas

Computer communication review, 2008, Vol.38 (1), p.5-5

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5
Quality-Driven Continuous Query Execution over Out-of-Order Data Streams
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Quality-Driven Continuous Query Execution over Out-of-Order Data Streams

Ji, Yuanzhen ; Zhou, Hongjin ; Jerzak, Zbigniew ; Nica, Anisoara ; Hackenbroich, Gregor ; Fetzer, Christof

Proceedings of the 2015 ACM SIGMOD International Conference on Management of Data, 2015, p.889-894

New York, NY, USA: ACM

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6
LightSaber: Efficient Window Aggregation on Multi-core Processors
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LightSaber: Efficient Window Aggregation on Multi-core Processors

Theodorakis, Georgios ; Koliousis, Alexandros ; Pietzuch, Peter ; Pirk, Holger

Proceedings of the 2020 ACM SIGMOD International Conference on Management of Data, 2020, p.2505-2521

New York, NY, USA: ACM

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7
A geometric approach to monitoring threshold functions over distributed data streams
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A geometric approach to monitoring threshold functions over distributed data streams

Sharfman, Izchak ; Schuster, Assaf ; Keren, Daniel

International Conference on Management of Data: Proceedings of the 2006 ACM SIGMOD international conference on Management of data; 27-29 June 2006, 2006, p.301-312

New York, NY, USA: ACM

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8
Grizzly: Efficient Stream Processing Through Adaptive Query Compilation
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Grizzly: Efficient Stream Processing Through Adaptive Query Compilation

Grulich, Philipp M. ; Sebastian, Breß ; Zeuch, Steffen ; Traub, Jonas ; Bleichert, Janis von ; Chen, Zongxiong ; Rabl, Tilmann ; Markl, Volker

Proceedings of the 2020 ACM SIGMOD International Conference on Management of Data, 2020, p.2487-2503

New York, NY, USA: ACM

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9
Incremental View Maintenance with Triple Lock Factorization Benefits
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Incremental View Maintenance with Triple Lock Factorization Benefits

Nikolic, Milos ; Olteanu, Dan

Proceedings of the 2018 International Conference on Management of Data, 2018, p.365-380

New York, NY, USA: ACM

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10
Elasticutor: Rapid Elasticity for Realtime Stateful Stream Processing
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Elasticutor: Rapid Elasticity for Realtime Stateful Stream Processing

Wang, LI ; Fu, Tom Z. J. ; Ma, Richard T. B. ; Winslett, Marianne ; Zhang, Zhenjie

Proceedings of the 2019 International Conference on Management of Data, 2019, p.573-588

New York, NY, USA: ACM

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