Querying Structural and Behavioral Properties of Business Processes. - Daniel Deutch; Tova Milo (DBPL, 2007)

Type inference and type checking for queries on execution traces. - Daniel Deutch; Tova Milo (Proc. VLDB Endow., 2008)

Querying web-based applications under models of uncertainty. - Daniel Deutch; Tova Milo (Proc. VLDB Endow., 2008)

Querying and monitoring distributed business processes. - Tova Milo; Daniel Deutch (Proc. VLDB Endow., 2008)

Evaluating TOP-K Queries over Business Processes. - Daniel Deutch; Tova Milo (ICDE, 2009)

TOP-K projection queries for probabilistic business processes. - Daniel Deutch; Tova Milo (ICDT, 2009)

Querying Future and Past in Business Processes. - Daniel Deutch; Tova Milo (IEEE Data Eng. Bull., 2009)

Goal-Oriented Web-site Navigation for On-line Shoppers. - Daniel Deutch; Tova Milo; Tom Yam (Proc. VLDB Endow., 2009)

Navigating through Mashed-up Applications with COMPASS. - Daniel Deutch; Ohad Greenshpan; Tova Milo (ICDE, 2010)

On probabilistic fixpoint and Markov chain query languages. - Daniel Deutch; Christoph Koch 001; Tova Milo (PODS, 2010)

Navigating in Complex Mashed-Up Applications. - Daniel Deutch; Ohad Greenshpan; Tova Milo (Proc. VLDB Endow., 2010)

Optimal Top-K Query Evaluation for Weighted Business Processes. - Daniel Deutch; Tova Milo; Neoklis Polyzotis; Tom Yam (Proc. VLDB Endow., 2010)

On models and query languages for probabilistic processes. - Daniel Deutch; Tova Milo (SIGMOD Rec., 2010)

Querying web-based applications under models of uncertainty - Daniel Deutch (2010)

Using Markov Chain Monte Carlo to play Trivia. - Daniel Deutch; Ohad Greenshpan; Boris Kostenko; Tova Milo (ICDE, 2011)

Provenance for aggregate queries. - Yael Amsterdamer; Daniel Deutch; Val Tannen (PODS, 2011)

A quest for beauty and wealth (or, business processes for database researchers). - Daniel Deutch; Tova Milo (PODS, 2011)

On the Limitations of Provenance for Queries with Difference. - Yael Amsterdamer; Daniel Deutch; Val Tannen (TaPP, 2011)

On the optimality of top-k algorithms for Interactive Web Applications. - Yael Amsterdamer; Daniel Deutch; Tova Milo (WebDB, 2011)

Putting Lipstick on Pig: Enabling Database-style Workflow Provenance. - Yael Amsterdamer; Susan B. Davidson; Daniel Deutch; Tova Milo; Julia Stoyanovich; Val Tannen (Proc. VLDB Endow., 2011)

Finding optimal probabilistic generators for XML collections. - Serge Abiteboul; Yael Amsterdamer; Daniel Deutch; Tova Milo; Pierre Senellart (ICDT, 2012)

Provenance for Web 2.0 Data. - Meghyn Bienvenu; Daniel Deutch; Fabian M. Suchanek (Secure Data Management, 2012)

Mob data sourcing. - Daniel Deutch; Tova Milo (SIGMOD Conference, 2012)

Dealing with the Deep Web and all its Quirks. - Meghyn Bienvenu; Daniel Deutch; Davide Martinenghi; Pierre Senellart; Fabian M. Suchanek (VLDS, 2012)

Deduction in the Presence of Distribution and Contradictions. - Serge Abiteboul; Meghyn Bienvenu; Daniel Deutch (WebDB, 2012)

Declarative platform for data sourcing games. - Daniel Deutch; Ohad Greenshpan; Boris Kostenko; Tova Milo (WWW, 2012)

A structural/temporal query language for Business Processes. - Daniel Deutch; Tova Milo (J. Comput. Syst. Sci., 2012)

On Provenance Minimization. - Yael Amsterdamer; Daniel Deutch; Tova Milo; Val Tannen (ACM Trans. Database Syst., 2012)

Type inference and type checking for queries over execution traces. - Daniel Deutch; Tova Milo (VLDB J., 2012)

Business Processes: A Database Perspective - Daniel Deutch; Tova Milo (Business Processes, 2012)

Caravan: Provisioning for What-If Analysis. - Daniel Deutch; Zachary G. Ives; Tova Milo; Val Tannen (CIDR, 2013)

Querying Probabilistic Business Processes for Sub-Flows. - Daniel Deutch (Theory Comput. Syst., 2013)

PROPOLIS: Provisioned Analysis of Data-Centric Processes. - Daniel Deutch; Yuval Moskovitch; Val Tannen (Proc. VLDB Endow., 2013)

Top-k queries over web applications. - Daniel Deutch; Tova Milo; Neoklis Polyzotis (VLDB J., 2013)

Deduction with Contradictions in Datalog. - Serge Abiteboul; Daniel Deutch; Victor Vianu (ICDT, 2014)

Circuits for Datalog Provenance. - Daniel Deutch; Tova Milo; Sudeepa Roy 001; Val Tannen (ICDT, 2014)

Approximated Provenance for Complex Applications. - Eleanor Ainy; Susan B. Davidson; Daniel Deutch; Tova Milo (TAPP, 2014)

A Provenance Framework for Data-Dependent Process Analysis. - Daniel Deutch; Yuval Moskovitch; Val Tannen (Proc. VLDB Endow., 2014)

Approximated Summarization of Data Provenance. - Eleanor Ainy; Pierre Bourhis; Susan B. Davidson; Daniel Deutch; Tova Milo (CIKM, 2015)

selP: Selective tracking and presentation of data provenance. - Daniel Deutch; Amir Gilad; Yuval Moskovitch (ICDE, 2015)

Towards web-scale how-provenance. - Daniel Deutch; Amir Gilad; Yuval Moskovitch (ICDE Workshops, 2015)

Optimal Probabilistic Generation of XML Documents. - Serge Abiteboul; Yael Amsterdamer; Daniel Deutch; Tova Milo; Pierre Senellart (Theory Comput. Syst., 2015)

Selective Provenance for Datalog Programs Using Top-K Queries. - Daniel Deutch; Amir Gilad; Yuval Moskovitch (Proc. VLDB Endow., 2015)

Provenance-based analysis of data-centric processes. - Daniel Deutch; Yuval Moskovitch; Val Tannen (VLDB J., 2015)

PROX: Approximated Summarization of Data Provenance. - Eleanor Ainy; Pierre Bourhis; Susan B. Davidson; Daniel Deutch; Tova Milo (EDBT, 2016)

Analyzing data-centric applications: Why, what-if, and how-to. - Pierre Bourhis; Daniel Deutch; Yuval Moskovitch (ICDE, 2016)

QPlain: Query by explanation. - Daniel Deutch; Amir Gilad (ICDE, 2016)

Learning Queries from Examples and Their Explanations. - Daniel Deutch; Amir Gilad (CoRR, 2016)

NLProv: Natural Language Provenance. - Daniel Deutch; Nave Frost; Amir Gilad (Proc. VLDB Endow., 2016)

POLYTICS: Provenance-Based Analytics of Data-Centric Applications. - Pierre Bourhis; Daniel Deutch; Yuval Moskovitch (ICDE, 2017)

Data Citation: A Computational Challenge. - Susan B. Davidson; Peter Buneman; Daniel Deutch; Tova Milo; Gianmaria Silvello (PODS, 2017)

A Model for Fine-Grained Data Citation. - Susan B. Davidson; Daniel Deutch; Tova Milo; Gianmaria Silvello (SEBD, 2017)

Possible and Certain Answers for Queries over Order-Incomplete Data. - Antoine Amarilli; Mouhamadou Lamine Ba; Daniel Deutch; Pierre Senellart (TIME, 2017)

Provenance for Natural Language Queries. - Daniel Deutch; Nave Frost; Amir Gilad (Proc. VLDB Endow., 2017)

CEC: Constraints based Explanation for Classifications. - Daniel Deutch; Nave Frost (CIKM, 2018)

Preserving Privacy of Fraud Detection Rule Sharing Using Intel's SGX. - Daniel Deutch; Yehonatan Ginzberg; Tova Milo (CIKM, 2018)

Towards Hypothetical Reasoning Using Distributed Provenance. - Daniel Deutch; Yuval Moskovitch; Itay Polak; Noam Rinetzky (EDBT, 2018)

Interactive Inference of SPARQL Queries Using Provenance. - Efrat Abramovitz; Daniel Deutch; Amir Gilad (ICDE, 2018)

Provenance for Non-Experts. - Daniel Deutch; Nave Frost; Amir Gilad (IEEE Data Eng. Bull., 2018)

QuestPro: Queries in SPARQL Through Provenance. - Efrat Abramovitz; Daniel Deutch; Amir Gilad (Proc. VLDB Endow., 2018)

NLProveNAns: Natural Language Provenance for Non-Answers. - Daniel Deutch; Nave Frost; Amir Gilad; Tomer Haimovich (Proc. VLDB Endow., 2018)

Natural Language Explanations for Query Results. - Daniel Deutch; Nave Frost; Amir Gilad (SIGMOD Rec., 2018)

Efficient provenance tracking for datalog using top-k queries. - Daniel Deutch; Amir Gilad; Yuval Moskovitch (VLDB J., 2018)

Reverse-Engineering Conjunctive Queries from Provenance Examples. - Daniel Deutch; Amir Gilad (EDBT, 2019)

Explaining Queries Over Web Tables to Non-experts. - Jonathan Berant; Daniel Deutch; Amir Globerson; Tova Milo; Tomer Wolfson (ICDE, 2019)

Just in Time: Personal Temporal Insights for Altering Model Decisions. - Naama Boer; Daniel Deutch; Nave Frost; Tova Milo (ICDE, 2019)

Constraints-Based Explanations of Classifications. - Daniel Deutch; Nave Frost (ICDE, 2019)

COBRA: Compression Via Abstraction of Provenance for Hypothetical Reasoning. - Daniel Deutch; Yuval Moskovitch; Noam Rinetzky (ICDE, 2019)

Hypothetical Reasoning via Provenance Abstraction. - Daniel Deutch; Yuval Moskovitch; Noam Rinetzky (SIGMOD Conference, 2019)

Datalignment: Ontology Schema Alignment Through Datalog Containment. - Daniel Deutch; Evgeny Marants; Yuval Moskovitch (Proc. VLDB Endow., 2019)

ProvCite: Provenance-based Data Citation. - Yinjun Wu; Abdussalam Alawini; Daniel Deutch; Tova Milo; Susan B. Davidson (Proc. VLDB Endow., 2019)

Computing possible and certain answers over order-incomplete data. - Antoine Amarilli; Mouhamadou Lamine Ba; Daniel Deutch; Pierre Senellart (Theor. Comput. Sci., 2019)

Explaining Missing Query Results in Natural Language. - Daniel Deutch; Nave Frost; Amir Gilad; Tomer Haimovich (EDBT, 2020)

Equivalence-Invariant Algebraic Provenance for Hyperplane Update Queries. - Pierre Bourhis; Daniel Deutch; Yuval Moskovitch (SIGMOD Conference, 2020)

T-REx: Table Repair Explanations. - Daniel Deutch; Nave Frost; Amir Gilad; Oren Sheffer (SIGMOD Conference, 2020)

On Multiple Semantics for Declarative Database Repairs. - Amir Gilad; Daniel Deutch; Sudeepa Roy 001 (SIGMOD Conference, 2020)

ExplainED: Explanations for EDA Notebooks. - Daniel Deutch; Amir Gilad; Tova Milo; Amit Somech (Proc. VLDB Endow., 2020)

Personal Insights for Altering Decisions of Tree-based Ensembles over Time. - Nave Frost; Naama Boer; Daniel Deutch; Tova Milo (Proc. VLDB Endow., 2020)

MuSe: Multiple Deletion Semantics for Data Repair. - Amir Gilad; Yihao Hu 001; Daniel Deutch; Sudeepa Roy 001 (Proc. VLDB Endow., 2020)

Break It Down: A Question Understanding Benchmark. - Tomer Wolfson; Mor Geva; Ankit Gupta 001; Yoav Goldberg; Matt Gardner 001; Daniel Deutch; Jonathan Berant (Trans. Assoc. Comput. Linguistics, 2020)

Explaining Natural Language query results. - Daniel Deutch; Nave Frost; Amir Gilad (VLDB J., 2020)

Explanations for Data Repair Through Shapley Values. - Daniel Deutch; Nave Frost; Amir Gilad; Oren Sheffer (CIKM, 2021)

PITA: Privacy Through Provenance Abstraction. - Daniel Deutch; Ariel Frankenthal; Amir Gilad; Yuval Moskovitch (ICDE, 2021)

On Optimizing the Trade-off between Privacy and Utility in Data Provenance. - Daniel Deutch; Ariel Frankenthal; Amir Gilad; Yuval Moskovitch (SIGMOD Conference, 2021)

Weakly Supervised Mapping of Natural Language to SQL through Question Decomposition. - Tomer Wolfson; Jonathan Berant; Daniel Deutch (CoRR, 2021)

LearnShapley: Learning to Predict Rankings of Facts Contribution Based on Query Logs. - Dana Arad; Daniel Deutch; Nave Frost (CIKM, 2022)

exML: An Explainable Maximum Likelihood Tool for Proportion Estimation in DNA Data. - Amit Bergman; Viviane Slon; Daniel Deutch (CIKM, 2022)

Weakly Supervised Text-to-SQL Parsing through Question Decomposition. - Tomer Wolfson; Daniel Deutch; Jonathan Berant (NAACL-HLT (Findings), 2022)

ShapGraph: An Holistic View of Explanations through Provenance Graphs and Shapley Values. - Susan B. Davidson; Daniel Deutch; Nave Frost; Benny Kimelfeld; Omer Koren; Mikaël Monet (SIGMOD Conference, 2022)

Computing the Shapley Value of Facts in Query Answering. - Daniel Deutch; Nave Frost; Benny Kimelfeld; Mikaël Monet (SIGMOD Conference, 2022)

Theory and Practice of Provenance. - Daniel Deutch; Tanu Malik; Adriane Chapman (SIGMOD Conference, 2022)

CFDB: Machine Learning Model Analysis via Databases of CounterFactuals. - Idan Meyuhas; Aviv Ben-Arie; Yair Horesh; Daniel Deutch (SIGMOD Conference, 2022)

FEDEX: An Explainability Framework for Data Exploration Steps. - Daniel Deutch; Amir Gilad; Tova Milo; Amit Mualem; Amit Somech (Proc. VLDB Endow., 2022)

Answering Questions by Meta-Reasoning over Multiple Chains of Thought. - Ori Yoran; Tomer Wolfson; Ben Bogin; Uri Katz; Daniel Deutch; Jonathan Berant (EMNLP, 2023)

Predicting Fact Contributions from Query Logs with Machine Learning. - Dana Arad; Daniel Deutch; Nave Frost (EDBT, 2024)

Optimizing Counterfactual-based Analysis of Machine Learning Models Through Databases. - Aviv Ben-Arie; Daniel Deutch; Nave Frost; Yair Horesh; Idan Meyuhas (EDBT, 2024)

CaFA: Cost-aware, Feasible Attacks With Database Constraints Against Neural Tabular Classifiers. - Matan Ben-Tov; Daniel Deutch; Nave Frost; Mahmood Sharif (SP, 2024)

Banzhaf Values for Facts in Query Answering. - Omer Abramovich; Daniel Deutch; Nave Frost; Ahmet Kara 002; Dan Olteanu (Proc. ACM Manag. Data, 2024)

Advancing Fact Attribution for Query Answering: Aggregate Queries and Novel Algorithms. - Omer Abramovich; Daniel Deutch; Nave Frost; Ahmet Kara 002; Dan Olteanu (CoRR, 2025)