• Corpus ID: 203838515

RAMBO: Repeated And Merged Bloom Filter for Multiple Set Membership Testing (MSMT) in Sub-linear time

@article{Gupta2019RAMBORA,
  title={RAMBO: Repeated And Merged Bloom Filter for Multiple Set Membership Testing (MSMT) in Sub-linear time},
  author={Gaurav Gupta and Benjamin Coleman and Tharun Medini and Vijai Mohan and Anshumali Shrivastava},
  journal={ArXiv},
  year={2019},
  volume={abs/1910.02611}
}
Approximate set membership is a common problem with wide applications in databases, networking, and search. Given a set S and a query q, the task is to determine whether q in S. The Bloom Filter (BF) is a popular data structure for approximate membership testing due to its simplicity. In particular, a BF consists of a bit array that can be incrementally updated. A related problem concerning this paper is the Multiple Set Membership Testing (MSMT) problem. Here we are given K different sets, and… 

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