| 131 |
A Query Language and Optimization Techniques for Unstructured Data |
1996 |
SIGMOD |
49 |
0.000302173 |
| 949 |
Provenance and Scientific Workflows: Challenges and Opportunities |
2008 |
SIGMOD |
29 |
0.00012897365 |
| 1,776 |
Putting Lipstick on Pig: Enabling Database-style Workflow Provenance |
2012 |
VLDB |
25 |
9.6661217e-05 |
| 3,994 |
A Data Transformation System for Biological Data Sources |
1995 |
VLDB |
9 |
6.8544209e-05 |
| 4,203 |
PrIU: A Provenance-Based Approach for Incrementally Updating Regression Models |
2020 |
SIGMOD |
8 |
6.7255278e-05 |
| 4,602 |
Reasoning about Nested Functional Dependencies |
1999 |
PODS |
3 |
6.4944895e-05 |
| 4,603 |
A Semantics for Complex Objects and Approximate Queries |
1988 |
PODS |
2 |
6.493817e-05 |
| 5,078 |
ShapGraph: An Holistic View of Explanations through Provenance Graphs and Shapley Values |
2022 |
SIGMOD |
7 |
6.2706745e-05 |
| 5,720 |
BLAS : An Efficient XPath Processing System |
2004 |
SIGMOD |
5 |
6.0015097e-05 |
| 5,748 |
An Optimal Labeling Scheme for Workflow Provenance Using Skeleton Labels |
2010 |
SIGMOD |
6 |
5.9914851e-05 |
| 6,407 |
From XML view updates to relational view updates: old solutions to a new problem |
2004 |
VLDB |
3 |
5.7789832e-05 |
| 6,550 |
Provenance Views for Module Privacy |
2011 |
PODS |
4 |
5.7316808e-05 |
| 7,241 |
OASSIS: Query Driven Crowd Mining |
2014 |
SIGMOD |
9 |
5.5620382e-05 |
| 7,259 |
Labeling Workflow Views with Fine-Grained Dependencies |
2012 |
VLDB |
2 |
5.5575036e-05 |
| 7,385 |
Enabling Privacy in Provenance-Aware Workflow Systems |
2011 |
CIDR |
4 |
5.5215471e-05 |
| 7,575 |
Detecting and Resolving Unsound Workflow Views for Correct Provenance Analysis |
2009 |
SIGMOD |
6 |
5.4768074e-05 |
| 7,642 |
PHOcus: Efficiently Archiving Photos |
2022 |
VLDB |
2 |
5.4615983e-05 |
| 7,818 |
Understanding local structure in ranked datasets |
2013 |
CIDR |
2 |
5.430869e-05 |
| 7,898 |
CHEF: A Cheap and Fast Pipeline for Iteratively Cleaning Label Uncertainties |
2021 |
VLDB |
2 |
5.4143104e-05 |
| 8,216 |
Labeling Recursive Workflow Executions On-the-Fly |
2011 |
SIGMOD |
3 |
5.3600428e-05 |
| 8,972 |
Managing General and Individual Knowledge in Crowd Mining Applications |
2015 |
CIDR |
3 |
5.2347984e-05 |
| 9,038 |
Biological Data Management: Research, Practice and Opportunities |
2004 |
VLDB |
2 |
5.2190365e-05 |
| 9,298 |
Zoom*UserViews: Querying Relevant Provenance in Workflow Systems |
2007 |
VLDB |
2 |
5.1860131e-05 |
| 9,473 |
Ontology Assisted Crowd Mining |
2014 |
VLDB |
2 |
5.1582248e-05 |
| 9,563 |
RRXS: Redundancy reducing XML storage in relations |
2003 |
VLDB |
2 |
5.1462732e-05 |
| 9,653 |
SubTab: Data Exploration with Informative Sub-Tables |
2022 |
SIGMOD |
2 |
5.1310526e-05 |
| 9,827 |
ProvCite: Provenance-based Data Citation |
2019 |
VLDB |
2 |
5.108228e-05 |
| 11,188 |
SHARQ: Explainability Framework for Association Rules on Relational Data |
2025 |
SIGMOD |
1 |
4.9605343e-05 |
| 11,227 |
PY-SHARQ: A Holistic Python Library for Explaining Association Rules on Relational Data |
2025 |
SIGMOD |
0 |
4.9605343e-05 |
| 11,303 |
Holistic query Approximation via RL Modeling |
2025 |
VLDB |
0 |
4.9605343e-05 |
| 12,276 |
Data Citation: Giving Credit Where Credit is Due |
2018 |
SIGMOD |
1 |
4.9605343e-05 |
| 12,313 |
A Model for Fine-Grained Data Citation |
2017 |
CIDR |
4 |
4.9605343e-05 |
| 12,319 |
Data Citation: a Computational Challenge |
2017 |
PODS |
1 |
4.9605343e-05 |
| 12,878 |
PDiffView: Viewing the Difference in Provenance of Workflow Results |
2009 |
VLDB |
0 |
4.9605343e-05 |
| 13,044 |
Crimson: A Data Management System to Support Evaluating Phylogenetic Tree Reconstruction Algorithms |
2006 |
VLDB |
0 |
4.9605343e-05 |
| 13,565 |
Is Byzantine Agreement Useful In A Distributed Database? |
1984 |
PODS |
0 |
4.9605343e-05 |
| 13,824 |
It’s not just Cookies and Tea |
2021 |
VLDB |
0 |
- |
| 13,893 |
Automating Data Citation in CiteDB |
2017 |
VLDB |
2 |
- |
| 14,103 |
WOLVES: Achieving Correct Provenance Analysis by Detecting and Resolving Unsound Workflow Views |
2009 |
VLDB |
0 |
- |