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sPCA: Scalable Principal Component Analysis for Big Data on Distributed Platforms

Summary: Introduces sPCA, a scalable PCA optimized for distributed big-data platforms. Leverages sparse matrix ops, minimizes intermediates, and is implemented on MapReduce and Spark; outperforms Mahout-PCA and MLlib-PCA in accuracy, speed, and data-shuffle. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID
5146
Venue
SIGMOD
Year
2015
Pagerank
5.4119882e-05
Overall Rank
8,535 | 41.45%
DOI
10.1145/2723372.2751520

Incoming Non-self Citations Over Time

Authors

BibTeX Citation

@inproceedings{elgamal_sigmod15,
        title = {{sPCA: Scalable Principal Component Analysis for Big Data on Distributed Platforms}},
        author = {Elgamal, Tarek and Yabandeh, Maysam and Aboulnaga, Ashraf and Mustafa, Waleed and Hefeeda, Mohamed},
        series = {{SIGMOD} '15},
        booktitle = {Proceedings of the {ACM} {SIGMOD} International Conference on Management of Data},
        publisher = {Association for Computing Machinery},
        doi = {10.1145/2723372.2751520},
        url = {https://dl.acm.org/doi/10.1145/2723372.2751520},
        year = {2015}
}

Incoming Citations (Sorted by Pagerank)

Showing 1 of 1 citing papers.

Rank Citing Paper Year Venue Pagerank
11,251 QCore: Data-Efficient, On-Device Continual Calibration for Quantized Models 2024 VLDB 5.093636e-05
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Outgoing Citations (Sorted by Pagerank)

Showing 3 of 3 cited papers.

Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.

Rank Cited Paper Year Venue Pagerank
372 HaLoop: Efficient Iterative Data Processing on Large Clusters 2010 VLDB 0.0001981521
532 MLbase: A Distributed Machine-learning System 2013 CIDR 0.00017072641
1,742 ArrayStore: A Storage Manager for Complex Parallel Array Processing 2011 SIGMOD 9.8748669e-05
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