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Srikanta Tirthapura

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“Stratified Random Sampling over Streaming and Stored Data” accepted to EDBT 2019

November 26, 2018 By snt

Our paper titled “Stratified Random Sampling over Streaming and Stored Data”, by Trong Nguyen, Ming-Hung Shih, Divesh Srivastava, Srikanta Tirthapura and Bojian Xu has been accepted to appear in the International Conference on Extending Database Technology (EDBT) 2019. This paper addresses algorithms and lower bounds (inherent difficulties) for computing a stratified random sample on streaming data. Congrats Trong and Danny!

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Recent News

  • Tutorial at the Web Conference “Subgraph counting: the methods behind the madness” May 15, 2019
  • “Parallel Streaming Random Sampling” accepted to Europar 2019 May 8, 2019
  • “Incremental Maintenance of Maximal Cliques in a Dynamic Graph” accepted to the VLDB Journal April 2, 2019
  • Congrats, Dr. Apurba Das March 15, 2019
  • “Weighted Reservoir Sampling from Distributed Streams” accepted to PODS 2019 March 11, 2019
  • Tutorial on Subgraph Counting at The Web Conference 2019 February 12, 2019
  • “Stratified Random Sampling over Streaming and Stored Data” accepted to EDBT 2019 November 26, 2018
  • “Enumerating Top-k Quasi-Cliques” accepted to IEEE Bigdata 2018 October 22, 2018
  • “Shared-Memory Parallel Maximal Clique Enumeration” accepted to HiPC 2018 September 9, 2018
  • “Variance-Reduced Stochastic Gradient Descent on Streaming Data” accepted to NIPS 2018 September 7, 2018

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