HomeRun: Scalable Sparse-Spectrum Reconstruction of Aggregated Historical Data
Summary: HOMERUN reconstructs fine-grained event sequences from overlapping aggregate reports by seeking a sparse DCT spectrum under nonnegativity and smoothness constraints. An ADMM solver makes basis-pursuit disaggregation scalable and memory-efficient, outperforming prior methods on energy-compacted epidemiological data. (summarized by gpt-5.6-luna on Jul 24 2026)
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Authors
- 1. Faisal M. Almutairi (University of Minnesota)
- 2. Fan Yang (University of Pittsburgh)
- 3. Hyun Ah Song (Carnegie Mellon University)
- 4. Christos Faloutsos (Carnegie Mellon University)
- 5. Nicholas Sidiropoulos (University of Virginia)
- 6. Vladimir Zadorozhny (University of Pittsburgh)
BibTeX Citation
@article{almutairi_vldb18,
title = {{HomeRun: Scalable Sparse-Spectrum Reconstruction of Aggregated Historical Data}},
author = {Almutairi, Faisal M. and Yang, Fan and Song, Hyun Ah and Faloutsos, Christos and Sidiropoulos, Nicholas and Zadorozhny, Vladimir},
journal = {PVLDB},
series = {{VLDB} '18},
volume = {11},
number = {11},
pages = {1496--1508},
doi = {10.14778/3236187.3236201},
url = {https://doi.org/10.14778/3236187.3236201},
year = {2018}
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Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
| Rank | Cited Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 898 | Querying and Mining of Time Series Data: Experimental Comparison of Representations and Distance Measures | 2008 | VLDB | 0.00013339042 |
| 952 | Recovering Information from Summary Data | 1997 | VLDB | 0.00013010681 |
| 1,053 | Multi-dimensional Selectivity Estimation Using Compressed Histogram Information | 1999 | SIGMOD | 0.00012401532 |
| 1,783 | Data Fusion – Resolving Data Conflicts for Integration | 2009 | VLDB | 9.772895e-05 |
| 3,715 | SLiMFast: Guaranteed Results for Data Fusion and Source Reliability | 2017 | SIGMOD | 7.1763559e-05 |
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