239 entries « 1 of 5 »

2023

Juelin Liu, Sandeep Polisetty, Hui Guan, Marco Serafini

GraphMini: Accelerating Graph Pattern Matching Using Auxiliary Graphs Journal Article

International Conference on Parallel Architectures and Compilation Techniques, 2023.

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Francisco Castro, Sahitya Raipura, Heather Conboy, Peter J Haas, Leon Osterweil, Ivon Arroyo

Piloting an Interactive Ethics and Responsible Computing Learning Environment in Undergraduate CS Courses Journal Article

Proceedings of the 54th ACM Technical Symposium on Computer Science Education, 2023.

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Wang Cen, Peter J Haas

NIM: Generative Neural Networks for Automated Modeling and Generation of Simulation Inputs Journal Article

ACM Transactions on Modeling and Computer Simulation, 33 (3), pp. 1–26, 2023.

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Chaitra Gopalappa, Hari Balasubramanian, Peter J Haas

A new mixed agent-based network and compartmental simulation framework for joint modeling of related infectious diseases- application to sexually transmitted infections Journal Article

Infectious Disease Modelling, 8 (1), pp. 84-100, 2023.

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Brian Hentschel, Peter J Haas, Yuanyuan Tian

Exact PPS Sampling with Bounded Sample Size Journal Article

Information Processing Letters, 182 , 2023.

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2022

Ryan McKenna, Brett Mullins, Daniel Sheldon, Gerome Miklau

AIM: an adaptive and iterative mechanism for differentially private synthetic data Inproceedings

Proceedings of the VLDB Endowment, pp. 2599–2612, 2022.

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Dave Archer, Michael A August, Georgios Bouloukakis, Christopher Davison, Mamadou H Diallo, Dhrubajyoti Ghosh, Christopher T Graves, Michael Hay, Xi He, Peeter Laud, Steve Lu, Ashwin Machanavajjhala, Sharad Mehrotra, Gerome Miklau, Alisa Pankova, Shantanu Sharma, Nalini Venkatasubramanian, Guoxi Wang, Roberto Yus

Transitioning from testbeds to ships: an experience study in deploying the TIPPERS Internet of Things platform to the US Navy Journal Article

The Journal of Defense Modeling and Simulation, 19 (3), pp. 501-517, 2022.

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Sainyam Galhotra, Anna Fariha, Raoni Lourenço, Juliana Freire, Alexandra Meliou, Divesh Srivastava

DataPrism: Exposing Disconnect between Data and Systems Inproceedings

Proceedings of the ACM SIGMOD International Conference on Management of Data (SIGMOD), 2022, pp. 217-231, 2022.

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Maliha Tashfia Islam, Anna Fariha, Alexandra Meliou, Babak Salimi

Through the data management lens: Experimental analysis and evaluation of fair classification Inproceedings

Proceedings of the ACM SIGMOD International Conference on Management of Data (SIGMOD), 2022., pp. 232-246, 2022.

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Raghavendra Addanki, Andrew McGregor, Alexandra Meliou, Zafeiria Moumoulidou

Improved approximation and scalability for fair max-min diversification Inproceedings

ICDT 2022, 2022.

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Wang Cen, Peter J. Haas

Enhanced Simulation Metamodeling via Graph and Generative Neural Networks Inproceedings

Winter Simulation Conference, WSC 2022, Singapore, December 11-14, 2022, pp. 2748-2759, 2022.

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Sneha Gathani, Madelon Hulsebos, James Gale, Peter J. Haas, Çağatay Demiralp

Augmenting Decision Making via Interactive What-If Analysis Inproceedings

12th Conference on Innovative Data Systems Research, CIDR 2022, Chaminade, CA, USA, January 9-12, 2022, 2022.

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Azza Abouzied, Peter J Haas, Alexandra Meliou

In-Database Decision Support: Opportunities and Challenges Journal Article

IEEE Data Engineering Bulletin, 45 (3), pp. 102-115, 2022.

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2021

Ryan McKenna, Gerome Miklau, Daniel Sheldon

Winning the NIST Contest: A scalable and general approach to differentially private synthetic data Journal Article

Journal of Privacy and Confidentiality, 11 (3), 2021.

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Ryan McKenna, Siddhant Pradhan, Daniel Sheldon, Gerome Miklau

Relaxed marginal consistency for differentially private query answering Inproceedings

Advances in Neural Information Processing Systems, pp. 20696-20707, 2021.

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Yifei Yang, Matt Youill, Matthew Woicik, Yizhou Liu, Xiangyao Yu, Marco Serafini, Ashraf Aboulnaga, Michael Stonebraker

FlexPushdownDB: Hybrid Pushdown and Caching in a Cloud DBMS Inproceedings

Proceedings of the VLDB Endowment, pp. 2101–2113, 2021.

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Abhinav Jangda, Sandeep Polisetty, Arjun Guha, Marco Serafini

Accelerating graph sampling for graph machine learning using GPUs Inproceedings

EuroSys '21: Proceedings of the Sixteenth European Conference on Computer Systems, pp. 311–326, 2021.

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Marco Serafini, Hui Guan

Scalable graph neural network training: The case for sampling Journal Article

ACM SIGOPS Operating Systems Review, 55 (1), pp. 68-76, 2021.

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Fei Song, Khaled Zaouk, Chenghao Lyu, Arnab Sinha, Qi Fan, Yanlei Diao, Prashant J Shenoy

Spark-based Cloud Data Analytics using Multi-Objective Optimization Inproceedings

37th IEEE International Conference on Data Engineering, ICDE 2021, Chania, Greece, April 19-22, 2021, pp. 396–407, IEEE, 2021.

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Zafeiria Moumoulidou, Andrew McGregor, Alexandra Meliou

Diverse Data Selection under Fairness Constraints Inproceedings

International Conference on Database Theory, (ICDT), pp. 11:1–11:25, 2021.

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Anna Fariha, Ashish Tiwari, Arjun Radhakrishna, Sumit Gulwani, Alexandra Meliou

Conformance Constraint Discovery: Measuring Trust in Data-Driven Systems Inproceedings

Proceedings of the ACM SIGMOD International Conference on Management of Data (SIGMOD), 2021.

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Anna Fariha, Ashish Tiwari, Alexandra Meliou, Arjun Radhakrishna, Sumit Gulwani

CoCo: Interactive Exploration of Conformance Constraints for Data Understanding and Data Cleaning Inproceedings

Proceedings of the ACM SIGMOD International Conference on Management of Data (SIGMOD), 2021.

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2020

Muhammad Bilal, Marco Serafini, Marco Canini, Rodrigo Rodrigues

Do the Best Cloud Configurations Grow on Trees? An Experimental Evaluation of Black Box Algorithms for Optimizing Cloud Workloads Sub Journal Article

Proc. VLDB Endow., 13 (11), pp. 2563–2575, 2020.

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Matteo Brucato, Miro Mannino, Azza Abouzied, Peter J Haas, Alexandra Meliou

sPaQLTooLs: A Stochastic Package Query Interface for Scalable Constrained Optimization Journal Article

Proc. VLDB Endow., 13 (12), pp. 2881–2884, 2020.

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Anna Fariha, Matteo Brucato, Peter J Haas, Alexandra Meliou

SuDocu: Summarizing Documents by Example Journal Article

Proc. VLDB Endow., 13 (12), pp. 2861–2864, 2020.

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Dan Zhang, Yoshihiko Suhara, Jinfeng Li, Madelon Hulsebos, Ç, Wang -

Sato: Contextual Semantic Type Detection in Tables Journal Article

Proc. VLDB Endow., 13 (11), pp. 1835–1848, 2020.

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Xiangyao Yu, Matt Youill, Matthew E Woicik, Abdurrahman Ghanem, Marco Serafini, Ashraf Aboulnaga, Michael Stonebraker

PushdownDB: Accelerating a DBMS Using S3 Computation Inproceedings

36th IEEE International Conference on Data Engineering, ICDE 2020, Dallas, TX, USA, April 20-24, 2020, pp. 1802–1805, 2020.

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Xiaowei Zhu, Marco Serafini, Xiaosong Ma, Ashraf Aboulnaga, Wenguang Chen, Guanyu Feng

LiveGraph: A Transactional Graph Storage System with Purely Sequential Adjacency List Scans Journal Article

Proc. VLDB Endow., 13 (7), pp. 1020–1034, 2020.

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Cibele Freire, Wolfgang Gatterbauer, Neil Immerman, Alexandra Meliou

New Results for the Complexity of Resilience for Binary Conjunctive Queries with Self-Joins Inproceedings

Proceedings of the 39th ACM SIGMOD-SIGACT-SIGAI Symposium on Principles of Database Systems, PODS 2020, Portland, OR, USA, June 14-19, 2020, pp. 271–284, 2020.

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Anna Fariha, Ashish Tiwari, Arjun Radhakrishna, Sumit Gulwani

ExTuNe: Explaining Tuple Non-conformance Inproceedings

Proceedings of the 2020 International Conference on Management of Data, SIGMOD Conference 2020, online conference [Portland, OR, USA], June 14-19, 2020, pp. 2741–2744, 2020.

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Anna Fariha, Suman Nath, Alexandra Meliou

Causality-Guided Adaptive Interventional Debugging Inproceedings

Proceedings of the 2020 International Conference on Management of Data, SIGMOD Conference 2020, online conference [Portland, OR, USA], June 14-19, 2020, pp. 431–446, 2020.

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Matteo Brucato, Nishant Yadav, Azza Abouzied, Peter J Haas, Alexandra Meliou

Stochastic Package Queries in Probabilistic Databases Inproceedings

Proceedings of the 2020 International Conference on Management of Data, SIGMOD Conference 2020, online conference [Portland, OR, USA], June 14-19, 2020, pp. 269–283, 2020.

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David Pujol, Ryan McKenna, Satya Kuppam, Michael Hay, Ashwin Machanavajjhala, Gerome Miklau

Fair decision making using privacy-protected data Inproceedings

FAT* '20: Conference on Fairness, Accountability, and Transparency, Barcelona, Spain, January 27-30, 2020, pp. 189–199, 2020.

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Dan Zhang, Ryan McKenna, Ios Kotsogiannis, George Bissias, Michael Hay, Ashwin Machanavajjhala, Gerome Miklau

ϵKTELO: A Framework for Defining Differentially Private Computations Journal Article

ACM Trans. Database Syst., 45 (1), pp. 2:1–2:44, 2020.

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2019

Matteo Brucato, Azza Abouzied, Alexandra Meliou

Scalable computation of high-order optimization queries Journal Article

Commun. ACM, 62 (2), pp. 108–116, 2019.

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Junjay Tan, Thanaa Ghanem, Matthew Perron, Xiangyao Yu, Michael Stonebraker, David DeWitt, Marco Serafini, Ashraf Aboulnaga, Tim Kraska

Choosing A Cloud DBMS: Architectures and Tradeoffs Journal Article

Proceedings of the VLDB Endowment, 12 (12), 2019.

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Anna Fariha, Alexandra Meliou

Example-Driven Query Intent Discovery: Abductive Reasoning using Semantic Similarity Journal Article

PVLDB, 12 (11), pp. 1262–1275, 2019.

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Xiaolan Wang, Xin Luna Dong, Yang Li, Alexandra Meliou

MIDAS: Finding the Right Web Sources to Fill Knowledge Gaps Inproceedings

35th IEEE International Conference on Data Engineering, ICDE 2019, Macao, China, April 8-11, 2019, pp. 578–589, 2019.

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Xiaolan Wang, Alexandra Meliou

Explain3D: Explaining Disagreements in Disjoint Datasets Journal Article

PVLDB, 12 (7), pp. 779–792, 2019.

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Ryan Mckenna, Daniel Sheldon, Gerome Miklau

Graphical-model based estimation and inference for differential privacy Inproceedings

International Conference on Machine Learning, pp. 4435–4444, 2019.

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Ahmed Elgohary, Matthias Boehm, Peter J Haas, Frederick R Reiss, Berthold Reinwald

Compressed linear algebra for declarative large-scale machine learning Journal Article

Commun. ACM, 62 (5), pp. 83–91, 2019.

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Yanlei Diao, Pawel Guzewicz, Ioana Manolescu, Mirjana Mazuran

Spade: A Modular Framework for Analytical Exploration of RDF Graphs Journal Article

PVLDB, 12 (12), pp. 1926–1929, 2019.

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Khaled Zaouk, Fei Song, Chenghao Lyu, Arnab Sinha, Yanlei Diao, Prashant J Shenoy

UDAO: A Next-Generation Unified Data Analytics Optimizer Journal Article

PVLDB, 12 (12), pp. 1934–1937, 2019.

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Brian Hentschel, Peter J Haas, Yuanyuan Tian

Online Model Management via Temporally Biased Sampling Journal Article

SIGMOD Record, 48 (1), pp. 69–76, 2019.

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Johanna Sommer, Matthias Boehm, Alexandre V Evfimievski, Berthold Reinwald, Peter J Haas

MNC: Structure-Exploiting Sparsity Estimation for Matrix Expressions Inproceedings

Proceedings of the 2019 International Conference on Management of Data, SIGMOD Conference 2019, Amsterdam, The Netherlands, June 30 - July 5, 2019, pp. 1607–1623, 2019.

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Zhiqi Huang, Ryan McKenna, George Bissias, Gerome Miklau, Michael Hay, Ashwin Machanavajjhala

PSynDB: Accurate and Accessible Private Data Generation Journal Article

PVLDB, 12 (12), pp. 1918–1921, 2019.

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Ios Kotsogiannis, Yuchao Tao, Xi He, Maryam Fanaeepour, Ashwin Machanavajjhala, Michael Hay, Gerome Miklau

PrivateSQL: A Differentially Private SQL Query Engine Journal Article

PVLDB, 12 (11), pp. 1371–1384, 2019.

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Dan Zhang, Ryan McKenna, Ios Kotsogiannis, George Bissias, Michael Hay, Ashwin Machanavajjhala, Gerome Miklau

Ektelo: A Framework for Defining Differentially-Private Computations Journal Article

SIGMOD Record, 48 (1), pp. 15–22, 2019.

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Brian Hentschel, Peter J Haas, Yuanyuan Tian

General Temporally Biased Sampling Schemes for Online Model Management Journal Article

ACM Trans. Database Syst., 44 (4), pp. 14:1–14:45, 2019.

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Ios Kotsogiannis, Yuchao Tao, Ashwin Machanavajjhala, Gerome Miklau, Michael Hay

Architecting a Differentially Private SQL Engine Inproceedings

CIDR 2019, 9th Biennial Conference on Innovative Data Systems Research, Asilomar, CA, USA, January 13-16, 2019, Online Proceedings, 2019.

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239 entries « 1 of 5 »