Adaptive Learned Bloom Filters under Incremental Workloads

Author:

Bhattacharya Arindam1,Bedathur Srikanta1,Bagchi Amitabha1

Affiliation:

1. Department of Computer Science and Engineering, IIT Delhi

Funder

International Business Machines Corporation

Publisher

ACM

Reference14 articles.

1. [n. d.]. TensorFlow: Large-Scale Machine Learning on Heterogeneous Systems. http://tensorflow.org/ Software available from tensorflow.org. [n. d.]. TensorFlow: Large-Scale Machine Learning on Heterogeneous Systems. http://tensorflow.org/ Software available from tensorflow.org.

2. Space/time trade-offs in hash coding with allowable errors

3. Andrei Broder and Michael Mitzenmacher. 2002. Network applications of bloom filters: A survey. In Internet Mathematics. Citeseer. Andrei Broder and Michael Mitzenmacher. 2002. Network applications of bloom filters: A survey. In Internet Mathematics. Citeseer.

4. Facebook 2016. Facebook V Check In Dataset. https://www.kaggle.com/c/facebook-v-predicting-check-ins/data. Facebook 2016. Facebook V Check In Dataset. https://www.kaggle.com/c/facebook-v-predicting-check-ins/data.

5. Tracking the conductance of rapidly evolving topic-subgraphs

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