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ISUM: Efficiently Compressing Large and Complex Workloads for Scalable Index Tuning

Research article (Proceedings of the 2022 International Conference on Management of Data, 2022) · cited 24× · AI/ML
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ISUM: Efficiently Compressing Large and Complex Workloads for Scalable Index Tuning

Summary

ISUM: Efficiently Compressing Large and Complex Workloads for Scalable Index Tuning is a scholarly article[1].

Key Facts

  • ISUM: Efficiently Compressing Large and Complex Workloads for Scalable Index Tuning'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). ISUM: Efficiently Compressing Large and Complex Workloads for Scalable Index Tuning. Retrieved May 24, 2026, from https://4ort.xyz/entity/isum-efficiently-compressing-large-and-complex-workloads-for-scalable-index-tuning
MLA “ISUM: Efficiently Compressing Large and Complex Workloads for Scalable Index Tuning.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/isum-efficiently-compressing-large-and-complex-workloads-for-scalable-index-tuning.
BibTeX @misc{4ortxyz_isum-efficiently-compressing-large-and-complex-workloads-for-scalable-index-tuning_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{ISUM: Efficiently Compressing Large and Complex Workloads for Scalable Index Tuning}}, year = {2026}, url = {https://4ort.xyz/entity/isum-efficiently-compressing-large-and-complex-workloads-for-scalable-index-tuning}, note = {Accessed: 2026-05-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): ISUM: Efficiently Compressing Large and Complex Workloads for Scalable Index Tuning — https://4ort.xyz/entity/isum-efficiently-compressing-large-and-complex-workloads-for-scalable-index-tuning (retrieved 2026-05-24)

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