| 130 |
A Query Language and Optimization Techniques for Unstructured Data |
1996 |
SIGMOD |
49 |
0.00030306096 |
| 943 |
Provenance and Scientific Workflows: Challenges and Opportunities |
2008 |
SIGMOD |
29 |
0.00012939577 |
| 1,767 |
Putting Lipstick on Pig: Enabling Database-style Workflow Provenance |
2012 |
VLDB |
25 |
9.6910812e-05 |
| 3,982 |
A Data Transformation System for Biological Data Sources |
1995 |
VLDB |
9 |
6.8742381e-05 |
| 4,197 |
PrIU: A Provenance-Based Approach for Incrementally Updating Regression Models |
2020 |
SIGMOD |
8 |
6.7390419e-05 |
| 4,584 |
Reasoning about Nested Functional Dependencies |
1999 |
PODS |
3 |
6.5160342e-05 |
| 4,586 |
A Semantics for Complex Objects and Approximate Queries |
1988 |
PODS |
2 |
6.5150868e-05 |
| 5,059 |
ShapGraph: An Holistic View of Explanations through Provenance Graphs and Shapley Values |
2022 |
SIGMOD |
7 |
6.291478e-05 |
| 5,710 |
BLAS : An Efficient XPath Processing System |
2004 |
SIGMOD |
5 |
6.0214073e-05 |
| 5,749 |
An Optimal Labeling Scheme for Workflow Provenance Using Skeleton Labels |
2010 |
SIGMOD |
6 |
6.0051184e-05 |
| 6,394 |
From XML view updates to relational view updates: old solutions to a new problem |
2004 |
VLDB |
3 |
5.79815e-05 |
| 6,540 |
Provenance Views for Module Privacy |
2011 |
PODS |
4 |
5.7506962e-05 |
| 7,230 |
OASSIS: Query Driven Crowd Mining |
2014 |
SIGMOD |
9 |
5.5779439e-05 |
| 7,240 |
Labeling Workflow Views with Fine-Grained Dependencies |
2012 |
VLDB |
2 |
5.5759411e-05 |
| 7,366 |
Enabling Privacy in Provenance-Aware Workflow Systems |
2011 |
CIDR |
4 |
5.5398653e-05 |
| 7,561 |
Detecting and Resolving Unsound Workflow Views for Correct Provenance Analysis |
2009 |
SIGMOD |
6 |
5.4949533e-05 |
| 7,627 |
PHOcus: Efficiently Archiving Photos |
2022 |
VLDB |
2 |
5.4797177e-05 |
| 7,803 |
Understanding local structure in ranked datasets |
2013 |
CIDR |
2 |
5.4488864e-05 |
| 7,881 |
CHEF: A Cheap and Fast Pipeline for Iteratively Cleaning Label Uncertainties |
2021 |
VLDB |
2 |
5.4322729e-05 |
| 8,201 |
Labeling Recursive Workflow Executions On-the-Fly |
2011 |
SIGMOD |
3 |
5.3778252e-05 |
| 8,959 |
Managing General and Individual Knowledge in Crowd Mining Applications |
2015 |
CIDR |
3 |
5.2496174e-05 |
| 9,016 |
Biological Data Management: Research, Practice and Opportunities |
2004 |
VLDB |
2 |
5.2363465e-05 |
| 9,274 |
Zoom*UserViews: Querying Relevant Provenance in Workflow Systems |
2007 |
VLDB |
2 |
5.2032182e-05 |
| 9,459 |
Ontology Assisted Crowd Mining |
2014 |
VLDB |
2 |
5.1727984e-05 |
| 9,536 |
RRXS: Redundancy reducing XML storage in relations |
2003 |
VLDB |
2 |
5.1633462e-05 |
| 9,625 |
SubTab: Data Exploration with Informative Sub-Tables |
2022 |
SIGMOD |
2 |
5.1480754e-05 |
| 9,793 |
ProvCite: Provenance-based Data Citation |
2019 |
VLDB |
2 |
5.1251743e-05 |
| 11,128 |
SHARQ: Explainability Framework for Association Rules on Relational Data |
2025 |
SIGMOD |
1 |
4.9769913e-05 |
| 11,168 |
PY-SHARQ: A Holistic Python Library for Explaining Association Rules on Relational Data |
2025 |
SIGMOD |
0 |
4.9769913e-05 |
| 11,247 |
Holistic query Approximation via RL Modeling |
2025 |
VLDB |
0 |
4.9769913e-05 |
| 12,233 |
Data Citation: Giving Credit Where Credit is Due |
2018 |
SIGMOD |
1 |
4.9769913e-05 |
| 12,270 |
A Model for Fine-Grained Data Citation |
2017 |
CIDR |
4 |
4.9769913e-05 |
| 12,276 |
Data Citation: a Computational Challenge |
2017 |
PODS |
1 |
4.9769913e-05 |
| 12,835 |
PDiffView: Viewing the Difference in Provenance of Workflow Results |
2009 |
VLDB |
0 |
4.9769913e-05 |
| 13,002 |
Crimson: A Data Management System to Support Evaluating Phylogenetic Tree Reconstruction Algorithms |
2006 |
VLDB |
0 |
4.9769913e-05 |
| 13,524 |
Is Byzantine Agreement Useful In A Distributed Database? |
1984 |
PODS |
0 |
4.9769913e-05 |
| 13,784 |
It’s not just Cookies and Tea |
2021 |
VLDB |
0 |
- |
| 13,853 |
Automating Data Citation in CiteDB |
2017 |
VLDB |
2 |
- |
| 14,063 |
WOLVES: Achieving Correct Provenance Analysis by Detecting and Resolving Unsound Workflow Views |
2009 |
VLDB |
0 |
- |