| 806 |
Provenance for Aggregate Queries |
2011 |
PODS |
0.00013890398 |
| 1,786 |
Putting Lipstick on Pig: Enabling Database-style Workflow Provenance |
2012 |
VLDB |
9.7690421e-05 |
| 1,952 |
Caravan: Provisioning for What-If Analysis |
2013 |
CIDR |
9.4233049e-05 |
| 2,424 |
Computing the Shapley Value of Facts in Query Answering |
2022 |
SIGMOD |
8.6009068e-05 |
| 3,590 |
On Probabilistic Fixpoint and Markov Chain Query Languages |
2010 |
PODS |
7.2801454e-05 |
| 4,602 |
Provenance for Natural Language Queries |
2017 |
VLDB |
6.6107638e-05 |
| 5,511 |
A Quest for Beauty and Wealth (or, Business Processes for Database Researchers) |
2011 |
PODS |
6.1915384e-05 |
| 5,660 |
Banzhaf Values for Facts in Query Answering |
2024 |
SIGMOD |
6.1305635e-05 |
| 5,824 |
ShapGraph: An Holistic View of Explanations through Provenance Graphs and Shapley Values |
2022 |
SIGMOD |
6.0750989e-05 |
| 6,358 |
On Provenance Minimization |
2011 |
PODS |
5.9020113e-05 |
| 6,587 |
Selective Provenance for Datalog Programs Using Top-K Queries |
2015 |
VLDB |
5.8333865e-05 |
| 6,664 |
On Multiple Semantics for Declarative Database Repairs |
2020 |
SIGMOD |
5.8090585e-05 |
| 7,175 |
NLProveNAns: Natural Language Provenance for Non-Answers |
2018 |
VLDB |
5.6820504e-05 |
| 7,383 |
ExplainED: Explanations for EDA Notebooks |
2020 |
VLDB |
5.6284447e-05 |
| 7,390 |
Querying and Monitoring Distributed Business Processes |
2008 |
VLDB |
5.626643e-05 |
| 8,184 |
FEDEX: An Explainability Framework for Data Exploration Steps |
2022 |
VLDB |
5.4709725e-05 |
| 8,509 |
Hypothetical Reasoning via Provenance Abstraction |
2019 |
SIGMOD |
5.4120069e-05 |
| 8,688 |
Advancing Fact Attribution for Query Answering: Aggregate Queries and Novel Algorithms |
2025 |
VLDB |
5.3847009e-05 |
| 9,416 |
Equivalence-Invariant Algebraic Provenance for Hyperplane Update Queries |
2020 |
SIGMOD |
5.2742007e-05 |
| 9,763 |
NLProv: Natural Language Provenance |
2016 |
VLDB |
5.2234888e-05 |
| 10,061 |
PROPOLIS: Provisioned Analysis of Data-Centric Processes |
2013 |
VLDB |
5.1659501e-05 |
| 10,077 |
ProvCite: Provenance-based Data Citation |
2019 |
VLDB |
5.1603976e-05 |
| 11,544 |
CFDB: Machine Learning Model Analysis via Databases of CounterFactuals |
2022 |
SIGMOD |
5.093636e-05 |
| 11,668 |
On Optimizing the Trade-off between Privacy and Utility in Data Provenance |
2021 |
SIGMOD |
5.093636e-05 |
| 11,780 |
T-REx: Table Repair Explanations |
2020 |
SIGMOD |
5.093636e-05 |
| 11,811 |
MuSe: Multiple Deletion Semantics for Data Repair |
2020 |
VLDB |
5.093636e-05 |
| 11,828 |
Personal Insights for Altering Decisions of Tree-based Ensembles over Time |
2020 |
VLDB |
5.093636e-05 |
| 11,876 |
Datalignment: Ontology Schema Alignment Through Datalog Containment |
2019 |
VLDB |
5.093636e-05 |
| 11,941 |
QuestPro: Queries in SPARQL Through Provenance |
2018 |
VLDB |
5.093636e-05 |
| 11,966 |
A Model for Fine-Grained Data Citation |
2017 |
CIDR |
5.093636e-05 |
| 11,972 |
Data Citation: a Computational Challenge |
2017 |
PODS |
5.093636e-05 |
| 12,212 |
A Provenance Framework for Data-Dependent Process Analysis |
2014 |
VLDB |
5.093636e-05 |
| 12,310 |
Mob Data Sourcing |
2012 |
SIGMOD |
5.093636e-05 |
| 12,470 |
Navigating in Complex Mashed-Up Applications |
2010 |
VLDB |
5.093636e-05 |
| 12,478 |
Optimal Top-K Query Evaluation for Weighted Business Processes |
2010 |
VLDB |
5.093636e-05 |
| 12,542 |
Goal-Oriented Web-site Navigation for On-line Shoppers |
2009 |
VLDB |
5.093636e-05 |
| 12,575 |
Type Inference and Type Checking for Queries on Execution Traces |
2008 |
VLDB |
5.093636e-05 |
| 12,611 |
Querying Web-Based Applications Under Models of Uncertainty |
2008 |
VLDB |
5.093636e-05 |
| 13,412 |
Theory and Practice of Provenance |
2022 |
SIGMOD |
- |