Daniel Deutch

According to our database1, Daniel Deutch authored at least 97 papers between 2007 and 2024.

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Bibliography

2024
Optimizing Counterfactual-based Analysis of Machine Learning Models Through Databases.
Proceedings of the Proceedings 27th International Conference on Extending Database Technology, 2024

Predicting Fact Contributions from Query Logs with Machine Learning.
Proceedings of the Proceedings 27th International Conference on Extending Database Technology, 2024

2023
Banzhaf Values for Facts in Query Answering.
CoRR, 2023

Answering Questions by Meta-Reasoning over Multiple Chains of Thought.
Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

2022
FEDEX: An Explainability Framework for Data Exploration Steps.
Proc. VLDB Endow., 2022

CFDB: Machine Learning Model Analysis via Databases of CounterFactuals.
Proceedings of the SIGMOD '22: International Conference on Management of Data, Philadelphia, PA, USA, June 12, 2022

Theory and Practice of Provenance.
Proceedings of the SIGMOD '22: International Conference on Management of Data, Philadelphia, PA, USA, June 12, 2022

Computing the Shapley Value of Facts in Query Answering.
Proceedings of the SIGMOD '22: International Conference on Management of Data, Philadelphia, PA, USA, June 12, 2022

ShapGraph: An Holistic View of Explanations through Provenance Graphs and Shapley Values.
Proceedings of the SIGMOD '22: International Conference on Management of Data, Philadelphia, PA, USA, June 12, 2022

Weakly Supervised Text-to-SQL Parsing through Question Decomposition.
Proceedings of the Findings of the Association for Computational Linguistics: NAACL 2022, 2022

exML: An Explainable Maximum Likelihood Tool for Proportion Estimation in DNA Data.
Proceedings of the 31st ACM International Conference on Information & Knowledge Management, 2022

LearnShapley: Learning to Predict Rankings of Facts Contribution Based on Query Logs.
Proceedings of the 31st ACM International Conference on Information & Knowledge Management, 2022

2021
Weakly Supervised Mapping of Natural Language to SQL through Question Decomposition.
CoRR, 2021

On Optimizing the Trade-off between Privacy and Utility in Data Provenance.
Proceedings of the SIGMOD '21: International Conference on Management of Data, 2021

PITA: Privacy Through Provenance Abstraction.
Proceedings of the 37th IEEE International Conference on Data Engineering, 2021

Explanations for Data Repair Through Shapley Values.
Proceedings of the CIKM '21: The 30th ACM International Conference on Information and Knowledge Management, Virtual Event, Queensland, Australia, November 1, 2021

2020
Explaining Natural Language query results.
VLDB J., 2020

Break It Down: A Question Understanding Benchmark.
Trans. Assoc. Comput. Linguistics, 2020

MuSe: Multiple Deletion Semantics for Data Repair.
Proc. VLDB Endow., 2020

Personal Insights for Altering Decisions of Tree-based Ensembles over Time.
Proc. VLDB Endow., 2020

ExplainED: Explanations for EDA Notebooks.
Proc. VLDB Endow., 2020

On Multiple Semantics for Declarative Database Repairs.
Proceedings of the 2020 International Conference on Management of Data, 2020

T-REx: Table Repair Explanations.
Proceedings of the 2020 International Conference on Management of Data, 2020

Equivalence-Invariant Algebraic Provenance for Hyperplane Update Queries.
Proceedings of the 2020 International Conference on Management of Data, 2020

Explaining Missing Query Results in Natural Language.
Proceedings of the 23rd International Conference on Extending Database Technology, 2020

2019
Computing possible and certain answers over order-incomplete data.
Theor. Comput. Sci., 2019

ProvCite: Provenance-based Data Citation.
Proc. VLDB Endow., 2019

Datalignment: Ontology Schema Alignment Through Datalog Containment.
Proc. VLDB Endow., 2019

Hypothetical Reasoning via Provenance Abstraction.
Proceedings of the 2019 International Conference on Management of Data, 2019

COBRA: Compression Via Abstraction of Provenance for Hypothetical Reasoning.
Proceedings of the 35th IEEE International Conference on Data Engineering, 2019

Constraints-Based Explanations of Classifications.
Proceedings of the 35th IEEE International Conference on Data Engineering, 2019

Just in Time: Personal Temporal Insights for Altering Model Decisions.
Proceedings of the 35th IEEE International Conference on Data Engineering, 2019

Explaining Queries Over Web Tables to Non-experts.
Proceedings of the 35th IEEE International Conference on Data Engineering, 2019

Reverse-Engineering Conjunctive Queries from Provenance Examples.
Proceedings of the Advances in Database Technology, 2019

2018
Efficient provenance tracking for datalog using top-k queries.
VLDB J., 2018

Natural Language Explanations for Query Results.
SIGMOD Rec., 2018

NLProveNAns: Natural Language Provenance for Non-Answers.
Proc. VLDB Endow., 2018

QuestPro: Queries in SPARQL Through Provenance.
Proc. VLDB Endow., 2018

Provenance for Non-Experts.
IEEE Data Eng. Bull., 2018

Interactive Inference of SPARQL Queries Using Provenance.
Proceedings of the 34th IEEE International Conference on Data Engineering, 2018

Towards Hypothetical Reasoning Using Distributed Provenance.
Proceedings of the 21st International Conference on Extending Database Technology, 2018

Preserving Privacy of Fraud Detection Rule Sharing Using Intel's SGX.
Proceedings of the 27th ACM International Conference on Information and Knowledge Management, 2018

CEC: Constraints based Explanation for Classifications.
Proceedings of the 27th ACM International Conference on Information and Knowledge Management, 2018

2017
Provenance for Natural Language Queries.
Proc. VLDB Endow., 2017

Possible and Certain Answers for Queries over Order-Incomplete Data.
Proceedings of the 24th International Symposium on Temporal Representation and Reasoning, 2017

Data Citation: A Computational Challenge.
Proceedings of the 36th ACM SIGMOD-SIGACT-SIGAI Symposium on Principles of Database Systems, 2017

POLYTICS: Provenance-Based Analytics of Data-Centric Applications.
Proceedings of the 33rd IEEE International Conference on Data Engineering, 2017

A Model for Fine-Grained Data Citation.
Proceedings of the 8th Biennial Conference on Innovative Data Systems Research, 2017

2016
NLProv: Natural Language Provenance.
Proc. VLDB Endow., 2016

Learning Queries from Examples and Their Explanations.
CoRR, 2016

QPlain: Query by explanation.
Proceedings of the 32nd IEEE International Conference on Data Engineering, 2016

Analyzing data-centric applications: Why, what-if, and how-to.
Proceedings of the 32nd IEEE International Conference on Data Engineering, 2016

PROX: Approximated Summarization of Data Provenance.
Proceedings of the 19th International Conference on Extending Database Technology, 2016

2015
Provenance-based analysis of data-centric processes.
VLDB J., 2015

Selective Provenance for Datalog Programs Using Top-K Queries.
Proc. VLDB Endow., 2015

Optimal Probabilistic Generation of XML Documents.
Theory Comput. Syst., 2015

Towards web-scale how-provenance.
Proceedings of the 31st IEEE International Conference on Data Engineering Workshops, 2015

selP: Selective tracking and presentation of data provenance.
Proceedings of the 31st IEEE International Conference on Data Engineering, 2015

Approximated Summarization of Data Provenance.
Proceedings of the 24th ACM International Conference on Information and Knowledge Management, 2015

2014
A Provenance Framework for Data-Dependent Process Analysis.
Proc. VLDB Endow., 2014

Approximated Provenance for Complex Applications.
Proceedings of the 6th Workshop on the Theory and Practice of Provenance, 2014

Circuits for Datalog Provenance.
Proceedings of the Proc. 17th International Conference on Database Theory (ICDT), 2014

Deduction with Contradictions in Datalog.
Proceedings of the Proc. 17th International Conference on Database Theory (ICDT), 2014

2013
Top-k queries over web applications.
VLDB J., 2013

PROPOLIS: Provisioned Analysis of Data-Centric Processes.
Proc. VLDB Endow., 2013

Querying Probabilistic Business Processes for Sub-Flows.
Theory Comput. Syst., 2013

Caravan: Provisioning for What-If Analysis.
Proceedings of the Sixth Biennial Conference on Innovative Data Systems Research, 2013

2012
Business Processes: A Database Perspective
Synthesis Lectures on Data Management, Morgan & Claypool Publishers, ISBN: 978-3-031-01891-6, 2012

Type inference and type checking for queries over execution traces.
VLDB J., 2012

On Provenance Minimization.
ACM Trans. Database Syst., 2012

A structural/temporal query language for Business Processes.
J. Comput. Syst. Sci., 2012

Declarative platform for data sourcing games.
Proceedings of the 21st World Wide Web Conference 2012, 2012

Deduction in the Presence of Distribution and Contradictions.
Proceedings of the 15th International Workshop on the Web and Databases 2012, 2012

Dealing with the Deep Web and all its Quirks.
Proceedings of the Second International Workshop on Searching and Integrating New Web Data Sources, 2012

Mob data sourcing.
Proceedings of the ACM SIGMOD International Conference on Management of Data, 2012

Provenance for Web 2.0 Data.
Proceedings of the Secure Data Management - 9th VLDB Workshop, 2012

Finding optimal probabilistic generators for XML collections.
Proceedings of the 15th International Conference on Database Theory, 2012

2011
Putting Lipstick on Pig: Enabling Database-style Workflow Provenance.
Proc. VLDB Endow., 2011

On the optimality of top-k algorithms for Interactive Web Applications.
Proceedings of the 14th International Workshop on the Web and Databases 2011, 2011

On the Limitations of Provenance for Queries with Difference.
Proceedings of the 3rd Workshop on the Theory and Practice of Provenance, 2011

A quest for beauty and wealth (or, business processes for database researchers).
Proceedings of the 30th ACM SIGMOD-SIGACT-SIGART Symposium on Principles of Database Systems, 2011

Provenance for aggregate queries.
Proceedings of the 30th ACM SIGMOD-SIGACT-SIGART Symposium on Principles of Database Systems, 2011

Using Markov Chain Monte Carlo to play Trivia.
Proceedings of the 27th International Conference on Data Engineering, 2011

2010
Querying web-based applications under models of uncertainty
PhD thesis, 2010

On models and query languages for probabilistic processes.
SIGMOD Rec., 2010

Optimal Top-K Query Evaluation for Weighted Business Processes.
Proc. VLDB Endow., 2010

Navigating in Complex Mashed-Up Applications.
Proc. VLDB Endow., 2010

On probabilistic fixpoint and Markov chain query languages.
Proceedings of the Twenty-Ninth ACM SIGMOD-SIGACT-SIGART Symposium on Principles of Database Systems, 2010

Navigating through Mashed-up Applications with COMPASS.
Proceedings of the 26th International Conference on Data Engineering, 2010

2009
Goal-Oriented Web-site Navigation for On-line Shoppers.
Proc. VLDB Endow., 2009

Querying Future and Past in Business Processes.
IEEE Data Eng. Bull., 2009

TOP-K projection queries for probabilistic business processes.
Proceedings of the Database Theory, 2009

Evaluating TOP-K Queries over Business Processes.
Proceedings of the 25th International Conference on Data Engineering, 2009

2008
Querying and monitoring distributed business processes.
Proc. VLDB Endow., 2008

Querying web-based applications under models of uncertainty.
Proc. VLDB Endow., 2008

Type inference and type checking for queries on execution traces.
Proc. VLDB Endow., 2008

2007
Querying Structural and Behavioral Properties of Business Processes.
Proceedings of the Database Programming Languages, 11th International Symposium, 2007


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