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DeepSqueeze: Deep Semantic Compression for Tabular Data

Research article (Proceedings of the 2020 ACM SIGMOD International Conference on Management of Data, 2020) · cited 28× · AI/ML
academia openalex:W3029187551
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DeepSqueeze: Deep Semantic Compression for Tabular Data

Summary

DeepSqueeze: Deep Semantic Compression for Tabular Data is a scholarly article[1].

Key Facts

  • DeepSqueeze: Deep Semantic Compression for Tabular Data's instance of is recorded as scholarly article[2].

References

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Direct Wikidata claims

  1. [2] ↑ . wikidata.org.

Class ancestry

  1. [1] ↑ . Wikidata. wikidata.org.

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APA 4ort.xyz Knowledge Graph. (2026). DeepSqueeze: Deep Semantic Compression for Tabular Data. Retrieved May 24, 2026, from https://4ort.xyz/entity/deepsqueeze-deep-semantic-compression-for-tabular-data
MLA “DeepSqueeze: Deep Semantic Compression for Tabular Data.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/deepsqueeze-deep-semantic-compression-for-tabular-data.
BibTeX @misc{4ortxyz_deepsqueeze-deep-semantic-compression-for-tabular-data_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{DeepSqueeze: Deep Semantic Compression for Tabular Data}}, year = {2026}, url = {https://4ort.xyz/entity/deepsqueeze-deep-semantic-compression-for-tabular-data}, note = {Accessed: 2026-05-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): DeepSqueeze: Deep Semantic Compression for Tabular Data — https://4ort.xyz/entity/deepsqueeze-deep-semantic-compression-for-tabular-data (retrieved 2026-05-24)

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