Data Mining Algorithms as a Service in the Cloud: Exploiting Relational Database Systems
Summary: Data mining as a service on a DBMS-based cloud; returns models as relational tables for easy integration, avoiding large data exports. Hybrid local–cloud processing with a linear cost model; local summarization and sampling with RAM caching minimize data transfer, cloud handles heavy models. (summarized by gpt-5-nano on Feb 09 2026)
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Authors
- 1. Carlos Ordonez (University of Houston)
- 2. Javier García-García (Instituto Politécnico Nacional)
- 3. Carlos Garcia-Alvarado (Greenplum)
- 4. Wellington Cabrera (University of Houston)
- 5. Veerabhadran Baladandayuthapani (University of Texas)
- 6. Mohammed S. Quraishi (University of Houston)
BibTeX Citation
@inproceedings{ordonez_sigmod13,
title = {{Data Mining Algorithms as a Service in the Cloud: Exploiting Relational Database Systems}},
author = {Ordonez, Carlos and García-García, Javier and Garcia-Alvarado, Carlos and Cabrera, Wellington and Baladandayuthapani, Veerabhadran and Quraishi, Mohammed S.},
series = {{SIGMOD} '13},
booktitle = {Proceedings of the {ACM} {SIGMOD} International Conference on Management of Data},
publisher = {Association for Computing Machinery},
doi = {10.1145/2463676.2465240},
url = {https://dl.acm.org/doi/10.1145/2463676.2465240},
year = {2013}
}
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