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ORCIDDan Suciu
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- affiliation: University of Washington, Seattle, Washington, USA
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2020 – today
- 2023
[j129]Maximilian Schleich
, Amir Shaikhha, Dan Suciu:
Optimizing Tensor Programs on Flexible Storage. Proc. ACM Manag. Data 1(1): 37:1-37:27 (2023)- [j128]Kyle B. Deeds, Dan Suciu, Magdalena Balazinska:
SafeBound: A Practical System for Generating Cardinality Bounds. Proc. ACM Manag. Data 1(1): 53:1-53:26 (2023) - [j127]Yisu Remy Wang, Max Willsey, Dan Suciu:
Free Join: Unifying Worst-Case Optimal and Traditional Joins. Proc. ACM Manag. Data 1(2): 150:1-150:23 (2023) - [j126]Mahmoud Abo Khamis, Hung Q. Ngo, Reinhard Pichler, Dan Suciu, Yisu Remy Wang:
Convergence of Datalog over (Pre-) Semirings. SIGMOD Rec. 52(1): 75-82 (2023) - [j125]Dan Suciu:
Technical Perspective: Accurate Summary-based Cardinality Estimation Through the Lens of Cardinality Estimation Graphs. SIGMOD Rec. 52(1): 93 (2023) - [c190]Kyle Deeds, Dan Suciu, Magda Balazinska, Walter Cai:
Degree Sequence Bound for Join Cardinality Estimation. ICDT 2023: 8:1-8:18 - [c189]Dan Suciu:
Applications of Information Inequalities to Database Theory Problems. LICS 2023: 1-30 - [i74]Yisu Remy Wang, Max Willsey, Dan Suciu:
Free Join: Unifying Worst-Case Optimal and Traditional Joins. CoRR abs/2301.10841 (2023) - [i73]Dan Suciu:
Applications of Information Inequalities to Database Theory Problems. CoRR abs/2304.11996 (2023) - [i72]Moe Kayali, Anton Lykov, Ilias Fountalis, Nikolaos Vasiloglou, Dan Olteanu, Dan Suciu:
CHORUS: Foundation Models for Unified Data Discovery and Exploration. CoRR abs/2306.09610 (2023) - [i71]Mahmoud Abo Khamis, Vasileios Nakos, Dan Olteanu, Dan Suciu:
Join Size Bounds using Lp-Norms on Degree Sequences. CoRR abs/2306.14075 (2023) - [i70]Ahmet Kara, Dan Olteanu, Dan Suciu:
From Shapley Value to Model Counting and Back. CoRR abs/2306.14211 (2023) - 2022
- [j124]Daniel Abadi, Anastasia Ailamaki, David G. Andersen, Peter Bailis, Magdalena Balazinska, Philip A. Bernstein, Peter A. Boncz, Surajit Chaudhuri, Alvin Cheung, AnHai Doan, Luna Dong, Michael J. Franklin, Juliana Freire, Alon Y. Halevy, Joseph M. Hellerstein, Stratos Idreos, Donald Kossmann, Tim Kraska, Sailesh Krishnamurthy, Volker Markl, Sergey Melnik, Tova Milo, C. Mohan, Thomas Neumann, Beng Chin Ooi, Fatma Ozcan, Jignesh M. Patel, Andrew Pavlo, Raluca A. Popa, Raghu Ramakrishnan, Christopher Ré, Michael Stonebraker, Dan Suciu:
The Seattle report on database research. Commun. ACM 65(8): 72-79 (2022) - [j123]Guy Van den Broeck, Anton Lykov, Maximilian Schleich, Dan Suciu:
On the Tractability of SHAP Explanations. J. Artif. Intell. Res. 74: 851-886 (2022) - [j122]Batya Kenig, Dan Suciu:
Integrity Constraints Revisited: From Exact to Approximate Implication. Log. Methods Comput. Sci. 18(1) (2022) - [j121]Bas Ketsman, Dan Suciu, Yufei Tao:
A Near-Optimal Parallel Algorithm for Joining Binary Relations. Log. Methods Comput. Sci. 18(2) (2022) - [j120]Zixuan Geng, Maximilian Schleich, Dan Suciu:
Computing Rule-Based Explanations by Leveraging Counterfactuals. Proc. VLDB Endow. 16(3): 420-432 (2022) - [j119]Moe Kayali, Dan Suciu:
Quasi-stable Coloring for Graph Compression: Approximating Max-Flow, Linear Programs, and Centrality. Proc. VLDB Endow. 16(4): 803-815 (2022) - [j118]Mahmoud Abo Khamis, Hung Q. Ngo, Reinhard Pichler, Dan Suciu, Yisu Remy Wang:
Datalog in Wonderland. SIGMOD Rec. 51(2): 6-17 (2022) - [c188]Mahmoud Abo Khamis, Hung Q. Ngo, Reinhard Pichler, Dan Suciu, Yisu Remy Wang:
Convergence of Datalog over (Pre-) Semirings. PODS 2022: 105-117 - [c187]Yisu Remy Wang, Mahmoud Abo Khamis, Hung Q. Ngo, Reinhard Pichler, Dan Suciu:
Optimizing Recursive Queries with Progam Synthesis. SIGMOD Conference 2022: 79-93 - [i69]Kyle Deeds, Dan Suciu, Magda Balazinska, Walter Cai:
Degree Sequence Bound For Join Cardinality Estimation. CoRR abs/2201.04166 (2022) - [i68]Yisu Remy Wang, Mahmoud Abo Khamis, Hung Q. Ngo, Reinhard Pichler, Dan Suciu:
Optimizing Recursive Queries with Program Synthesis. CoRR abs/2202.10390 (2022) - [i67]Maximilian Schleich, Amir Shaikhha, Dan Suciu:
Optimizing Tensor Programs on Flexible Storage. CoRR abs/2210.06267 (2022) - [i66]Zixuan Geng, Maximilian Schleich, Dan Suciu:
Computing Rule-Based Explanations by Leveraging Counterfactuals. CoRR abs/2210.17071 (2022) - [i65]Kyle Deeds, Dan Suciu, Magda Balazinska:
SafeBound: A Practical System for Generating Cardinality Bounds. CoRR abs/2211.09864 (2022) - [i64]Moe Kayali, Dan Suciu:
Quasi-stable Coloring for Graph Compression: Approximating Max-Flow, Linear Programs, and Centrality. CoRR abs/2211.11912 (2022) - [i63]Phokion G. Kolaitis, Andrej E. Romashchenko, Milan Studený, Dan Suciu, Tobias A. Boege:
Algorithmic Aspects of Information Theory (Dagstuhl Seminar 22301). Dagstuhl Reports 12(7): 180-204 (2022) - 2021
- [j117]Maximilian Schleich, Zixuan Geng, Yihong Zhang, Dan Suciu:
GeCo: Quality Counterfactual Explanations in Real Time. Proc. VLDB Endow. 14(9): 1681-1693 (2021) - [j116]Dan Suciu:
Technical Perspective for: Query Games in Databases. SIGMOD Rec. 50(1): 77 (2021) - [j115]Mahmoud Abo Khamis, Phokion G. Kolaitis, Hung Q. Ngo, Dan Suciu:
Bag Query Containment and Information Theory. ACM Trans. Database Syst. 46(3): 12:1-12:39 (2021) - [c186]Guy Van den Broeck, Anton Lykov, Maximilian Schleich, Dan Suciu:
On the Tractability of SHAP Explanations. AAAI 2021: 6505-6513 - [c185]Batya Kenig, Dan Suciu:
A Dichotomy for the Generalized Model Counting Problem for Unions of Conjunctive Queries. PODS 2021: 312-324 - [i62]Maximilian Schleich, Zixuan Geng, Yihong Zhang, Dan Suciu:
GeCo: Quality Counterfactual Explanations in Real Time. CoRR abs/2101.01292 (2021) - [i61]Mahmoud Abo Khamis, Hung Q. Ngo, Reinhard Pichler, Dan Suciu, Yisu Remy Wang:
Convergence of Datalog over (Pre-) Semirings. CoRR abs/2105.14435 (2021) - 2020
- [j114]Yisu Remy Wang, Shana Hutchison, Dan Suciu, Bill Howe, Jonathan Leang:
SPORES: Sum-Product Optimization via Relational Equality Saturation for Large Scale Linear Algebra. Proc. VLDB Endow. 13(11): 1919-1932 (2020) - [j113]Moe Kayali, Babak Salimi, Dan Suciu:
Demonstration of Inferring Causality from Relational Databases with CaRL. Proc. VLDB Endow. 13(12): 2985-2988 (2020) - [j112]Babak Salimi, Bill Howe, Dan Suciu:
Database Repair Meets Algorithmic Fairness. SIGMOD Rec. 49(1): 34-41 (2020) - [j111]David Maier, Rachel Pottinger, AnHai Doan, Eduard C. Dragut, Bill Howe, Joanne Lateulere, John Lateulere, Mostafa Milani, Tilmann Rabl, Dan Suciu, Yufei Tao, Wang-Chiew Tan, Kristin Tufte:
Advice from SIGMOD/PODS 2020. SIGMOD Rec. 49(3): 43-54 (2020) - [j110]Laurel J. Orr, Magdalena Balazinska, Dan Suciu:
EntropyDB: a probabilistic approach to approximate query processing. VLDB J. 29(1): 539-567 (2020) - [c184]Laurel J. Orr, Samuel K. Ainsworth, Kevin G. Jamieson, Walter Cai, Magdalena Balazinska, Dan Suciu:
Mosaic: A Sample-Based Database System for Open World Query Processing. CIDR 2020 - [c183]Mahmoud Abo Khamis, Phokion G. Kolaitis, Hung Q. Ngo, Dan Suciu:
Decision Problems in Information Theory. ICALP 2020: 106:1-106:20 - [c182]Batya Kenig, Dan Suciu:
Integrity Constraints Revisited: From Exact to Approximate Implication. ICDT 2020: 18:1-18:20 - [c181]Dan Suciu:
Probabilistic Databases for All. PODS 2020: 19-31 - [c180]Mahmoud Abo Khamis, Phokion G. Kolaitis, Hung Q. Ngo, Dan Suciu:
Bag Query Containment and Information Theory. PODS 2020: 95-112 - [c179]Leopoldo E. Bertossi, Jordan Li, Maximilian Schleich, Dan Suciu, Zografoula Vagena:
Causality-based Explanation of Classification Outcomes. DEEM@SIGMOD 2020: 6:1-6:10 - [c178]Babak Salimi, Harsh Parikh, Moe Kayali, Lise Getoor, Sudeepa Roy, Dan Suciu:
Causal Relational Learning. SIGMOD Conference 2020: 241-256 - [c177]Laurel J. Orr, Magdalena Balazinska, Dan Suciu:
Sample Debiasing in the Themis Open World Database System. SIGMOD Conference 2020: 257-268 - [c176]Batya Kenig, Pranay Mundra, Guna Prasaad, Babak Salimi, Dan Suciu:
Mining Approximate Acyclic Schemes from Relations. SIGMOD Conference 2020: 297-312 - [c175]Guna Prasaad, Alvin Cheung, Dan Suciu:
Handling Highly Contended OLTP Workloads Using Fast Dynamic Partitioning. SIGMOD Conference 2020: 527-542 - [c174]Yan Yan, Stephen Meyles, Aria Haghighi, Dan Suciu:
Entity Matching in the Wild: A Consistent and Versatile Framework to Unify Data in Industrial Applications. SIGMOD Conference 2020: 2287-2301 - [e11]Dan Suciu, Yufei Tao, Zhewei Wei:
Proceedings of the 39th ACM SIGMOD-SIGACT-SIGAI Symposium on Principles of Database Systems, PODS 2020, Portland, OR, USA, June 14-19, 2020. ACM 2020, ISBN 978-1-4503-7108-7 [contents] - [i60]Yisu Remy Wang, Shana Hutchison, Jonathan Leang, Bill Howe, Dan Suciu:
SPORES: Sum-Product Optimization via Relational Equality Saturation for Large Scale Linear Algebra. CoRR abs/2002.07951 (2020) - [i59]Laurel J. Orr, Magda Balazinska, Dan Suciu:
Sample Debiasing in the Themis Open World Database System (Extended Version). CoRR abs/2002.09799 (2020) - [i58]Leopoldo E. Bertossi, Jordan Li, Maximilian Schleich, Dan Suciu, Zografoula Vagena:
Causality-based Explanation of Classification Outcomes. CoRR abs/2003.06868 (2020) - [i57]Babak Salimi, Harsh Parikh, Moe Kayali, Sudeepa Roy, Lise Getoor, Dan Suciu:
Causal Relational Learning. CoRR abs/2004.03644 (2020) - [i56]Mahmoud Abo Khamis, Phokion G. Kolaitis, Hung Q. Ngo, Dan Suciu:
Decision Problems in Information Theory. CoRR abs/2004.08783 (2020) - [i55]Batya Kenig, Dan Suciu:
A Dichotomy for the Generalized Model Counting Problem for Unions of Conjunctive Queries. CoRR abs/2008.00896 (2020) - [i54]Guy Van den Broeck, Anton Lykov, Maximilian Schleich, Dan Suciu:
On the Tractability of SHAP Explanations. CoRR abs/2009.08634 (2020) - [i53]Bas Ketsman, Dan Suciu, Yufei Tao:
A Near-Optimal Parallel Algorithm for Joining Binary Relations. CoRR abs/2011.14482 (2020)
2010 – 2019
- 2019
- [j109]Babak Salimi, Bill Howe, Dan Suciu:
Data Management for Causal Algorithmic Fairness. IEEE Data Eng. Bull. 42(3): 24-35 (2019) - [j108]Dan Suciu:
Technical Perspective for: MATLANG: Matrix Operations and Their Expressive Power. SIGMOD Rec. 48(1): 59 (2019) - [j107]Daniel Abadi, Anastasia Ailamaki, David G. Andersen, Peter Bailis, Magdalena Balazinska, Philip A. Bernstein, Peter A. Boncz, Surajit Chaudhuri, Alvin Cheung, AnHai Doan, Luna Dong, Michael J. Franklin, Juliana Freire, Alon Y. Halevy, Joseph M. Hellerstein, Stratos Idreos, Donald Kossmann, Tim Kraska, Sailesh Krishnamurthy, Volker Markl, Sergey Melnik, Tova Milo, C. Mohan, Thomas Neumann, Beng Chin Ooi, Fatma Ozcan, Jignesh M. Patel, Andrew Pavlo, Raluca A. Popa, Raghu Ramakrishnan, Christopher Ré, Michael Stonebraker, Dan Suciu:
The Seattle Report on Database Research. SIGMOD Rec. 48(4): 44-53 (2019) - [c173]Mahmoud Abo Khamis, Hung Q. Ngo, Dan Olteanu, Dan Suciu:
Boolean Tensor Decomposition for Conjunctive Queries with Negation. ICDT 2019: 21:1-21:19 - [c172]Walter Cai, Magdalena Balazinska, Dan Suciu:
Pessimistic Cardinality Estimation: Tighter Upper Bounds for Intermediate Join Cardinalities. SIGMOD Conference 2019: 18-35 - [c171]Babak Salimi, Luke Rodriguez, Bill Howe, Dan Suciu:
Interventional Fairness: Causal Database Repair for Algorithmic Fairness. SIGMOD Conference 2019: 793-810 - [e10]Dan Suciu, Sebastian Skritek, Christoph Koch:
Proceedings of the 38th ACM SIGMOD-SIGACT-SIGAI Symposium on Principles of Database Systems, PODS 2019, Amsterdam, The Netherlands, June 30 - July 5, 2019. ACM 2019, ISBN 978-1-4503-6227-6 [contents] - [i52]Babak Salimi, Luke Rodriguez, Bill Howe, Dan Suciu:
Capuchin: Causal Database Repair for Algorithmic Fairness. CoRR abs/1902.08283 (2019) - [i51]Mahmoud Abo Khamis, Phokion G. Kolaitis, Hung Q. Ngo, Dan Suciu:
Bag Query Containment and Information Theory. CoRR abs/1906.09727 (2019) - [i50]Babak Salimi, Bill Howe, Dan Suciu:
Data Management for Causal Algorithmic Fairness. CoRR abs/1908.07924 (2019) - [i49]Laurel J. Orr, Magdalena Balazinska, Dan Suciu:
EntropyDB: A Probabilistic Approach to Approximate Query Processing. CoRR abs/1911.04948 (2019) - [i48]Batya Kenig, Pranay Mundra, Guna Prasaad, Babak Salimi, Dan Suciu:
Mining Approximate Acyclic Schemes from Relations. CoRR abs/1911.12933 (2019) - [i47]Laurel J. Orr, Samuel K. Ainsworth, Walter Cai, Kevin G. Jamieson, Magda Balazinska, Dan Suciu:
Mosaic: A Sample-Based Database System for Open World Query Processing. CoRR abs/1912.07777 (2019) - 2018
- [j106]Serge Abiteboul, Marcelo Arenas, Pablo Barceló, Meghyn Bienvenu, Diego Calvanese, Claire David, Richard Hull, Eyke Hüllermeier, Benny Kimelfeld, Leonid Libkin, Wim Martens, Tova Milo, Filip Murlak, Frank Neven, Magdalena Ortiz, Thomas Schwentick, Julia Stoyanovich, Jianwen Su, Dan Suciu, Victor Vianu, Ke Yi:
Research Directions for Principles of Data Management (Dagstuhl Perspectives Workshop 16151). Dagstuhl Manifestos 7(1): 1-29 (2018) - [j105]Paraschos Koutris, Semih Salihoglu, Dan Suciu:
Algorithmic Aspects of Parallel Data Processing. Found. Trends Databases 8(4): 239-370 (2018) - [j104]Shumo Chu, Brendan Murphy, Jared Roesch, Alvin Cheung, Dan Suciu:
Axiomatic Foundations and Algorithms for Deciding Semantic Equivalences of SQL Queries. Proc. VLDB Endow. 11(11): 1482-1495 (2018) - [j103]Babak Salimi, Corey Cole, Peter Li, Johannes Gehrke, Dan Suciu:
HypDB: A Demonstration of Detecting, Explaining and Resolving Bias in OLAP queries. Proc. VLDB Endow. 11(12): 2062-2065 (2018) - [c170]Babak Salimi, Johannes Gehrke, Dan Suciu:
Bias in OLAP Queries: Detection, Explanation, and Removal. SIGMOD Conference 2018: 1021-1035 - [c169]Paris Koutris, Semih Salihoglu, Dan Suciu:
Algorithmic Aspects of Parallel Query Processing. SIGMOD Conference 2018: 1659-1664 - [r8]Dan Suciu:
Probabilistic Databases. Encyclopedia of Database Systems (2nd ed.) 2018 - [r7]Dan Suciu:
Semi-structured Data Model. Encyclopedia of Database Systems (2nd ed.) 2018 - [r6]Dan Suciu:
Semi-structured Query Languages. Encyclopedia of Database Systems (2nd ed.) 2018 - [r5]Dan Suciu, Jayant R. Haritsa:
XML Compression. Encyclopedia of Database Systems (2nd ed.) 2018 - [i46]Shumo Chu, Alvin Cheung, Dan Suciu:
Axiomatic Foundations and Algorithms for Deciding Semantic Equivalences of SQL Queries. CoRR abs/1802.02229 (2018) - [i45]Babak Salimi, Johannes Gehrke, Dan Suciu:
HypDB: Detect, Explain And Resolve Bias in OLAP. CoRR abs/1803.04562 (2018) - [i44]Egor V. Kostylev, Dan Suciu:
A Note on the Hardness of the Critical Tuple Problem. CoRR abs/1804.00443 (2018) - [i43]Guna Prasaad, Alvin Cheung, Dan Suciu:
Improving High Contention OLTP Performance via Transaction Scheduling. CoRR abs/1810.01997 (2018) - [i42]Batya Kenig, Dan Suciu:
Integrity Constraints Revisited: From Exact to Approximate Implication. CoRR abs/1812.09987 (2018) - 2017
- [j102]Chao Li, Daniel Yang Li, Gerome Miklau, Dan Suciu:
A theory of pricing private data. Commun. ACM 60(12): 79-86 (2017) - [j101]Guy Van den Broeck, Dan Suciu:
Query Processing on Probabilistic Data: A Survey. Found. Trends Databases 7(3-4): 197-341 (2017) - [j100]Paul Beame, Paraschos Koutris, Dan Suciu:
Communication Steps for Parallel Query Processing. J. ACM 64(6): 40:1-40:58 (2017) - [j99]Paraschos Koutris, Tova Milo, Sudeepa Roy, Dan Suciu:
Answering Conjunctive Queries with Inequalities. Theory Comput. Syst. 61(1): 2-30 (2017) - [j98]Laurel J. Orr, Dan Suciu, Magdalena Balazinska:
Probabilistic Database Summarization for Interactive Data Exploration. Proc. VLDB Endow. 10(10): 1154-1165 (2017) - [j97]Babak Salimi, Corey Cole, Dan R. K. Ports, Dan Suciu:
ZaliQL: Causal Inference from Observational Data at Scale. Proc. VLDB Endow. 10(12): 1957-1960 (2017) - [j96]Paul Beame, Jerry Li, Sudeepa Roy, Dan Suciu:
Exact Model Counting of Query Expressions: Limitations of Propositional Methods. ACM Trans. Database Syst. 42(1): 1:1-1:46 (2017) - [j95]Wolfgang Gatterbauer, Dan Suciu:
Dissociation and propagation for approximate lifted inference with standard relational database management systems. VLDB J. 26(1): 5-30 (2017) - [c168]Jingjing Wang, Tobin Baker, Magdalena Balazinska, Daniel Halperin, Brandon Haynes, Bill Howe, Dylan Hutchison, Shrainik Jain, Ryan Maas, Parmita Mehta, Dominik Moritz, Brandon Myers, Jennifer Ortiz, Dan Suciu, Andrew Whitaker, Shengliang Xu:
The Myria Big Data Management and Analytics System and Cloud Services. CIDR 2017 - [c167]Shumo Chu, Konstantin Weitz, Alvin Cheung, Dan Suciu:
HoTTSQL: proving query rewrites with univalent SQL semantics. PLDI 2017: 510-524 - [c166]Dan Suciu:
Communication Cost in Parallel Query Evaluation: A Tutorial. PODS 2017: 319 - [c165]Bas Ketsman, Dan Suciu:
A Worst-Case Optimal Multi-Round Algorithm for Parallel Computation of Conjunctive Queries. PODS 2017: 417-428 - [c164]Mahmoud Abo Khamis, Hung Q. Ngo, Dan Suciu:
What Do Shannon-type Inequalities, Submodular Width, and Disjunctive Datalog Have to Do with One Another? PODS 2017: 429-444 - [c163]Dylan Hutchison, Bill Howe, Dan Suciu:
LaraDB: A Minimalist Kernel for Linear and Relational Algebra Computation. BeyondMR@SIGMOD 2017: 2:1-2:10 - [c162]Shumo Chu, Daniel Li, Chenglong Wang, Alvin Cheung, Dan Suciu:
Demonstration of the Cosette Automated SQL Prover. SIGMOD Conference 2017: 1591-1594 - [c161]Helga Gudmundsdottir, Babak Salimi, Magdalena Balazinska, Dan R. K. Ports, Dan Suciu:
A Demonstration of Interactive Analysis of Performance Measurements with Viska. SIGMOD Conference 2017: 1707-1710 - [e9]Semih Salihoglu, Wenchao Zhou, Rada Chirkova, Jun Yang, Dan Suciu:
Proceedings of the 2017 ACM International Conference on Management of Data, SIGMOD Conference 2017, Chicago, IL, USA, May 14-19, 2017. ACM 2017, ISBN 978-1-4503-4197-4 [contents] - [i41]Serge Abiteboul, Marcelo Arenas, Pablo Barceló, Meghyn Bienvenu, Diego Calvanese, Claire David, Richard Hull, Eyke Hüllermeier, Benny Kimelfeld, Leonid Libkin, Wim Martens, Tova Milo, Filip Murlak, Frank Neven, Magdalena Ortiz, Thomas Schwentick, Julia Stoyanovich, Jianwen Su, Dan Suciu, Victor Vianu, Ke Yi:
Research Directions for Principles of Data Management (Dagstuhl Perspectives Workshop 16151). CoRR abs/1701.09007 (2017) - [i40]Laurel J. Orr, Magdalena Balazinska, Dan Suciu:
Probabilistic Database Summarization for Interactive Data Exploration. CoRR abs/1703.03856 (2017) - [i39]Dylan Hutchison, Bill Howe, Dan Suciu:
LaraDB: A Minimalist Kernel for Linear and Relational Algebra Computation. CoRR abs/1703.07342 (2017) - [i38]Mahmoud Abo Khamis, Hung Q. Ngo, Dan Olteanu, Dan Suciu:
Boolean Tensor Decomposition for Conjunctive Queries with Negation. CoRR abs/1712.07445 (2017) - [i37]Adnan Darwiche, Pierre Marquis, Dan Suciu, Stefan Szeider:
Recent Trends in Knowledge Compilation (Dagstuhl Seminar 17381). Dagstuhl Reports 7(9): 62-85 (2017) - 2016
- [j94]Daniel Abadi, Rakesh Agrawal, Anastasia Ailamaki, Magdalena Balazinska, Philip A. Bernstein, Michael J. Carey, Surajit Chaudhuri, Jeffrey Dean, AnHai Doan, Michael J. Franklin, Johannes Gehrke, Laura M. Haas, Alon Y. Halevy, Joseph M. Hellerstein, Yannis E. Ioannidis, H. V. Jagadish, Donald Kossmann, Samuel Madden, Sharad Mehrotra, Tova Milo, Jeffrey F. Naughton, Raghu Ramakrishnan, Volker Markl, Christopher Olston, Beng Chin Ooi, Christopher Ré, Dan Suciu, Michael Stonebraker, Todd Walter, Jennifer Widom:
The Beckman report on database research. Commun. ACM 59(2): 92-99 (2016) - [j93]Eric Gribkoff, Dan Suciu:
SlimShot: In-Database Probabilistic Inference for Knowledge Bases. Proc. VLDB Endow. 9(7): 552-563 (2016) - [j92]Prasang Upadhyaya, Magdalena Balazinska, Dan Suciu:
Price-Optimal Querying with Data APIs. Proc. VLDB Endow. 9(14): 1695-1706 (2016) - [j91]Serge Abiteboul, Marcelo Arenas, Pablo Barceló, Meghyn Bienvenu, Diego Calvanese, Claire David, Richard Hull, Eyke Hüllermeier, Benny Kimelfeld, Leonid Libkin, Wim Martens, Tova Milo, Filip Murlak, Frank Neven, Magdalena Ortiz, Thomas Schwentick, Julia Stoyanovich, Jianwen Su, Dan Suciu, Victor Vianu, Ke Yi:
Research Directions for Principles of Data Management (Abridged). SIGMOD Rec. 45(4): 5-17 (2016) - [j90]Paraschos Koutris, Dan Suciu:
A Guide to Formal Analysis of Join Processing in Massively Parallel Systems. SIGMOD Rec. 45(4): 18-27 (2016) - [c160]Eric Gribkoff, Dan Suciu:
SlimShot: Probabilistic Inference for Web-Scale Knowledge Bases. AAAI Workshop: Beyond NP 2016 - [c159]Dan Suciu:
Lifted Inference in Probabilistic Databases. Description Logics 2016 - [c158]