SAM: Database Generation from Query Workloads with Supervised Autoregressive Models-Reference-Cited by-同舟云学术

SAM: Database Generation from Query Workloads with Supervised Autoregressive Models

Published:2022-06-10 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the 2022 International Conference on Management of Data
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Author:

Yang Jingyi¹,Wu Peizhi²,Cong Gao¹,Zhang Tieying³,He Xiao⁴

Affiliation:

1. Nanyang Technological University, Singapore, Singapore

2. University of Pennsylvania, Philadelphia, PA, USA

3. ByteDance Inc., Mountain View, CA, USA

4. Alibaba Group, Hangzhou, China

Funder

Ministry of Education - Singapore

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3514221.3526168

Reference37 articles.

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2. [n.d.]. UCI machine learning repository. https://archive.ics.uci.edu/ml/index.php. [n.d.]. UCI machine learning repository. https://archive.ics.uci.edu/ml/index.php.

3. On the design and quantification of privacy preserving data mining algorithms

4. Arvind Arasu Raghav Kaushik and Jian Li. 2011. Data generation using declarative constraints. In SIGMOD. 685--696. Arvind Arasu Raghav Kaushik and Jian Li. 2011. Data generation using declarative constraints. In SIGMOD. 685--696.

5. QAGen

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