Author:
Tangwongsan Kanat,Tirthapura Srikanta
Publisher
Springer International Publishing
Reference22 articles.
1. Babcock, B., Datar, M., Motwani, R.: Sampling from a moving window over streaming data. In: Proceedings of the Annual ACM-SIAM Symposium on Discrete algorithms (SODA), pp. 633–634 (2002)
2. Blelloch, G.E., Maggs, B.M.: Chapter 10: parallel algorithms. In: The Computer Science and Engineering Handbook, 2nd edn. Chapman and Hall/CRC (2004)
3. Braverman, V., Ostrovsky, R., Zaniolo, C.: Optimal sampling from sliding windows. In: Proceedings of the ACM SIGMOD-SIGACT-SIGART Symposium on Principles of Database Systems (PODS), pp. 147–156 (2009)
4. Brown, P.G., Haas, P.J.: Techniques for warehousing of sample data. In: Proceedings of the International Conference on Data Engineering (ICDE), p. 6 (2006)
5. Chung, Y., Tirthapura, S., Woodruff, D.P.: A simple message-optimal algorithm for random sampling from a distributed stream. IEEE Trans. Knowl. Data Eng. (TKDE) 28(6), 1356–1368 (2016)
Cited by
4 articles.
订阅此论文施引文献
订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献
1. High-Performance and Flexible Parallel Algorithms for Semisort and Related Problems;Proceedings of the 35th ACM Symposium on Parallelism in Algorithms and Architectures;2023-06-17
2. Parallel Weighted Random Sampling;ACM Transactions on Mathematical Software;2022-09-10
3. Communication-Efficient Weighted Reservoir Sampling from Fully Distributed Data Streams;Proceedings of the 32nd ACM Symposium on Parallelism in Algorithms and Architectures;2020-07-06
4. Parallel Streaming Random Sampling;Lecture Notes in Computer Science;2019