Simplifying Access to Large-scale Structured Datasets by Meta-Profiling with Scalable Training Set Enrichment-Reference-Cited by-同舟云学术

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Simplifying Access to Large-scale Structured Datasets by Meta-Profiling with Scalable Training Set Enrichment

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:

Pavia Sophie¹,Khan Rituparna¹,Pyayt Anna²,Gubanov Michael¹

Affiliation:

1. Florida State University, Tallahasse, FL, USA

2. University of South Florida, Tallahasse, FL, USA

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3514221.3520156

Reference35 articles.

1. online : http://www.mongodb.com . 2007 . online: http://www.mongodb.com. 2007.

2. M. Abadi . TensorFlow: Large-scale machine learning on heterogeneous systems , 2015 . Software available from tensorflow.org. M. Abadi. TensorFlow: Large-scale machine learning on heterogeneous systems, 2015. Software available from tensorflow.org.

3. Schema Matching and Mapping

4. P. A. Bernstein . Applying model management to classical meta data problems . In CIDR , pages 209 -- 220 , 2003 . P. A. Bernstein. Applying model management to classical meta data problems. In CIDR, pages 209--220, 2003.

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