Database Systems Research on Data Mining
Summary: Survey of data mining in DBMS: processing options, storage, algorithms, data structures, and optimizations for large data sets; emphasizes multidimensional statistics and ML models. SQL vs MapReduce for scalable mining; highlights open research directions. (summarized by gpt-5-nano on Feb 09 2026)
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Authors
- 1. Carlos Ordonez (University of Houston)
- 2. Javier García-García (National Autonomous University of Mexico)
BibTeX Citation
@inproceedings{ordonez_sigmod10,
title = {{Database Systems Research on Data Mining}},
author = {Ordonez, Carlos and García-García, Javier},
series = {{SIGMOD} '10},
booktitle = {Proceedings of the {ACM} {SIGMOD} International Conference on Management of Data},
publisher = {Association for Computing Machinery},
doi = {10.1145/1807167.1807335},
url = {https://dl.acm.org/doi/10.1145/1807167.1807335},
year = {2010}
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