Scolopax: Exploratory Analysis of Scientific Data
Summary: Scolopax is a hypothesis-search engine for exploratory scientific data analysis, with an intuitive UI and scalable parallel data management. It ranks vast hypothesis spaces using model training, summary generation, and novel parallel joins, demonstrated on 3.3M bird sightings across ~2500 attributes. (summarized by gpt-5-nano on Feb 09 2026)
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Authors
- 1. Alper Okcan (Northeastern University)
- 2. Mirek Riedewald (Northeastern University)
- 3. Biswanath Panda (Google)
- 4. Daniel Fink (Cornell University)
BibTeX Citation
@article{okcan_vldb13,
title = {{Scolopax: Exploratory Analysis of Scientific Data}},
author = {Okcan, Alper and Riedewald, Mirek and Panda, Biswanath and Fink, Daniel},
journal = {PVLDB},
series = {{VLDB} '13},
volume = {6},
number = {12},
doi = {10.14778/2536274.2536300},
url = {https://doi.org/10.14778/2536274.2536300},
year = {2013}
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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 |
|---|---|---|---|---|
| 843 | Processing Theta-Joins using MapReduce* | 2011 | SIGMOD | 0.00013666161 |
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