| Publications | |
|---|---|
 | Query Rewriting via Large Language Models Jie Liu and Barzan Mozafari In Arxiv, 2024 |
| SlabCity: Whole-Query Optimization using Program Synthesis Rui Dong, Jie Liu, Yuxuan Zhu, Cong Yan, Barzan Mozafari, Xinyu Wang In Proceedings of the 49th International Conference on Very Large Data Bases (VLDB), August 28 - September 01, 2023 |
 | Making Data Clouds Smarter at Keebo: Automated Warehouse Optimization using Data Learning Barzan Mozafari, Radu Alexandru Burcuta, Alan Cabrera, Andrei Constantin, Derek Francis, David Grömling, Alekh Jindal, Maciej Konkolowicz, Valentin Marian Spac, Yongjoo Park, Russell Razo Carranza, Ni In Proceedings of In Proceedings of the ACM SIGMOD 2023 Conference, June 18-23, 2023 Try out Keebo |
| Communication-efficient Distributed Learning for Large Batch Optimization Rui Liu and Barzan Mozafari In Proceedings of In the Proceedings of the Thirty-ninth International Conference on Machine Learning (ICML), July, 2022 |
| Provable Memorization Capacity of Transformers Junghwan Kim and Barzan Mozafari In Proceedings of the proceedings of International Conference on Learning Representations (ICLR), May, 2023 |
| Transformer with Memory Replay Rui Liu and Barzan Mozafari In Proceedings of the 36th AAAI Conference on Artificial Intelligence, February 22 - March 01, 2022 |
| DMon: Efficient Detection and Correction of Data Locality Problems using Selective Profiling Tanvir Ahmed Khan, Ian Neal, Gilles Pokam, Barzan Mozafari, and Baris Kasikci In Proceedings of Symposium on Operating Systems Design and Implementation (OSDI), July, 2021 |
| Adam with Bandit Sampling for Deep Learning Rui Liu, Tianyi Wu, and Barzan Mozafari In Proceedings of the thirty-fourth Conference on Neural Information Processing Systems (NeurIPS), December, 2020 Technical Report |
| QuickSel: Quick Selectivity Learning with Mixture Models Yongjoo Park, Shucheng Zhong, and Barzan Mozafari In Proceedings of the ACM SIGMOD Conference, June 14-19, 2020 |
 | Joins on Samples: A Theoretical Guide for Practitioners Dawei Huang, Dong Young Yoon, Seth Pettie, and Barzan Mozafari In Proceedings of 46th International Conference on Very Large Databases (PVLDB), August 31 - September 04, 2020 Technical Report |
| Huron: Hybrid False Sharing Detection and Repair Tanvir Ahmed Khan, Yifan Zhao, Gilles Pokam, Barzan Mozafari, and Baris Kasikci In Proceedings of the Conference on Programming Language Design and Implementation (PLDI), June, 2019 |
| BlinkML: Efficient Maximum Likelihood Estimation with Probabilistic Guarantees Yongjoo Park, Jingyi Qing, Xiaoyang Shen, and Barzan Mozafari In Proceedings of the ACM SIGMOD 2019 Conference, June 30 - July 05, 2019 Technical Report |
| Revisiting Projection-Free Optimization for Strongly Convex Constraint Sets Jarrid Rector-Brooks, Jun-Kun Wang, and Barzan Mozafari In Proceedings of the 33rd AAAI Conference on Artificial Intelligence, January 27 - February 01, 2019 Technical Report |
| A Bandit Approach to Maximum Inner Product Search Rui Liu, Tianyi Wu, and Barzan Mozafari In Proceedings of the 33rd AAAI Conference on Artificial Intelligence, January 27 - February 01, 2019 |
| SnappyData Barzan Mozafari In Encyclopedia of Big Data Technologies, Springer, Cham, 2018 Download SnappyData |
| Distributed Lock Management with RDMA: Decentralization without Starvation Dong Young Yoon, Mosharaf Chowdhury, and Barzan Mozafari In Proceedings of the ACM SIGMOD 2018 Conference, June 10-15, 2018 |
| VerdictDB: Universalizing Approximate Query Processing Yongjoo Park, Barzan Mozafari, Joseph Sorenson, and Junhao Wang In Proceedings of the ACM SIGMOD 2018 Conference, June 10-15, 2018 Download the latest release |
| Demonstration of VerdictDB, the Platform-Independent AQP System Wen He, Yongjoo Park, Idris Hanafi, Jacob Yatvitskiy, and Barzan Mozafari In Proceedings of the ACM SIGMOD 2018 Conference, June 10-15, 2018 Download VerdictDB Watch a video |
| Contention-aware lock scheduling for transactional databases Boyu Tian, Jiamin Huang, Barzan Mozafari, and Grant Schoenebeck In Proceedings of 44th International Conference on Very Large Databases (PVLDB), August 27-31, 2018 (Adopted by MySQL 8.0.3+) Technical Report |
 | Ensuring Authorized Updates in Multi-user Database-Backed Applications Kevin Eykholt, Atul Prakash, and Barzan Mozafari In Proceedings of the 26th Usenix Security Symposium, August 16-18, 2017 |
| Statistical Analysis of Latency Through Semantic Profiling Jiamin Huang, Barzan Mozafari and Thomas F. Wenisch In Proceedings of the European Conference on Computer Systems (EuroSys), April 23-26, 2017 Download VProfiler's Latest Release |
| Approximate Query Engines: Commercial Challenges and Research Opportunities Barzan Mozafari In Proceedings of the ACM SIGMOD 2017 Conference, May 14-19, 2017 (Keynote) Slides |
| Database Learning: Toward a Database that Becomes Smarter Every Time Yongjoo Park, Ahmad Shahab Tajik, Michael Cafarella, Barzan Mozafari In Proceedings of the ACM SIGMOD 2017 Conference, May 14-19, 2017 Download Verdict |
| A Top-Down Approach to Achieving Performance Predictability in Database Systems Jiamin Huang, Barzan Mozafari, Grant Schoenebeck, Thomas F. Wenisch In Proceedings of the ACM SIGMOD 2017 Conference, May 14-19, 2017 Slides |
 | SnappyData: A Unified Cluster for Streaming, Transactions and Interactice Analytics Barzan Mozafari, Jags Ramnarayan, Sudhir Menon, Yogesh Mahajan, Soubhik Chakraborty, Hemant Bhanawat, Kishor Bachhav In Proceedings of Conference on Innovative Data Systems Research (CIDR), January 08-11, 2017 Spin out an iSight cloud for free! Download Our Latest Release |
 | Identifying the Major Sources of Variance in Transaction Latencies: Towards More Predictable Databases Jiamin Huang, Barzan Mozafari, Grant Schoenebeck, and Thomas Wenisch In Technical Report, March, 2016 |
 | DBSherlock: A Performance Diagnostic Tool for Transactional Databases Dong Young Yoon, Ning Niu, and Barzan Mozafari In Proceedings of the ACM SIGMOD 2016 Conference, June 26 - July 01, 2016 Download the Datasets used in the Paper Download the Source Code for DBSherlock / DBSeer |
 | SnappyData: A Hybrid Transactional Analytical Store Built On Spark Jags Ramnarayan, Barzan Mozafari, Sumedh Wale, Sudhir Menon, Neeraj Kumar, Hemant Bhanawat, Soubhik Chakraborty, Yogesh Mahajan, Rishitesh Mishra, Kishor Bachhav In Proceedings of the ACM SIGMOD 2016 Conference, June 26 - July 01, 2016 Download the Source Code for SnappyData |
 | Database Learning: Toward a Database that Becomes Smarter Every Time Yongjoo Park, Ahmad Shahab Tajik, Michael Cafarella, and Barzan Mozafari Technical Report, April, 2016 |
 | SnappyData: Streaming, Transactions, and Interactive Analytics in a Unified Engine Jags Ramnarayan, Barzan Mozafari, Sudhir Menon, Sumedh Wale, Neeraj Kumar, Hemant Bhanawat, Soubhik Chakraborty, Yogesh Mahajan, Rishitesh Mishra, and Kishor Bachhav Technical Report, March, 2016 |
 | Neighbor-Sensitive Hashing Yongjoo Park, Michael Cafarella, Barzan Mozafari In Proceedings of the 41st International Conference on Very Large Data Bases (PVLDB), September 05-09, 2016 Download the Source Code for NSH |
 | Visualization-Aware Sampling for Very Large Databases Yongjoo Park, Michael Cafarella, Barzan Mozafari In Proceedings of 32nd IEEE International Conference on Data Engineering (ICDE), May 16-20, 2016 Technical Report |
 | A Handbook for Building an Approximate Query Engine Barzan Mozafari, and Ning Niu IEEE Data Engineering Bulletin, October, 2015 |
 | DBSeer: Pain-free Database Administration through Workload Intelligence Dong Young Yoon, Barzan Mozafari, and Douglas P. Brown In Proceedings of the 41st International Conference on Very Large Data Bases (PVLDB), September 01-04, 2015 Watch a Video Demo of DBSeer Download DBSeer's Latest Release |
 | CliffGuard: A Principled Framework for Finding Robust Database Designs Barzan Mozafari, Eugene Zhen Ye Goh, and Dong Young Yoon In Proceedings of the ACM SIGMOD 2015 Conference, May 31 - June 04, 2015 Visit our project's website Download CliffGuard's Open-source Release |
 | Verdict: A System for Stochastic Query Planning Barzan Mozafari In Proceedings of the Conference on Innovative Data Systems Research (CIDR), January, 2015 |
 | Scaling Up Crowd-Sourcing to Very Large Datasets: A Case for Active Learning Barzan Mozafari, Purna Sarkar, Michael Franklin, Michael Jordan, and Samuel Madden the 41st International Conference on Very Large Data Bases (PVLDB), September 01-04, 2015 Download Our Extensible Active Learning System Download the Active Learning and Crowdsourced Datasets (Sentiment Analysis for Tweets) Used in the Paper |
 | The Analytical Bootstrap: a New Method for Fast Error Estimation in Approximate Query Processing Kai Zeng, Shi Gao, Barzan Mozafari and Carlo Zaniolo In Proceedings of the ACM SIGMOD 2014 Conference, June, 2014 Download the Error Estimation Source Code for SQL Queries (I) Download the Error Estimation Source Code for SQL Queries (II) |
 | Knowing When You're Wrong: Building Fast and Reliable Approximate Query Processing Systems Sameer Agarwal, Henry Milner, Ariel Kleiner, Ameet Talwalkar, Michael Jordan, Samuel Madden, Barzan Mozafari and Ion Stoica In Proceedings of the ACM SIGMOD 2014 Conference, June, 2014 |
 | ABS: a System for Scalable Approximate Queries with Accuracy Guarantees Kai Zeng, Shi Gao, Jiaqi Gu, Barzan Mozafari and Carlo Zaniolo In Proceedings of the ACM SIGMOD 2014 Conference, June, 2014 (ACM SIGMOD's Best Demo Award) Download ABS (A General Approximate Query Engine with Error Estimation) Download the Hive modifications for ABS |
| Active Learning for Crowd-Sourced Databases Barzan Mozafari, Purnamrita Sarkar, Michael J. Franklin, Michael I. Jordan, and Samuel Madden In Technical Report, 2013 Download the Active Learning and Crowdsourced Datasets (Sentiment Analysis for Tweets) Used in the Paper |
 | High-Performance Complex Event Processing over Hierarchical Data Barzan Mozafari, Kai Zeng, Loris D'Antoni, and Carlo Zaniolo In ACM TODS's Special Issue on, December, 2013 |
 | Performance and Resource Modeling in Highly-Concurrent OLTP Workloads Barzan Mozafari, Carlo Curino, Alekh Jindal, and Samuel Madden In Proceedings of the ACM SIGMOD 2013 Conference, June 22-27, 2013 Download DBSeer and start using it (it's now open source)! |
 | BlinkDB: Queries with Bounded Errors and Bounded Response Times on Very Large Data Sameer Agarwal, Barzan Mozafari, Aurojit Panda, Henry Milner, Samuel Madden, and Ion Stoica In Proceedings of the European Conference on Computer Systems (EuroSys), April 14-17, 2013 (Best Paper Award) Download BlinkDB's official release. |
 | Complex Pattern Matching in Complex Structures: the XSeq Approach Kai Zeng, Mohan Yang, Barzan Mozafari, and Carlo Zaniolo In Proceedings of the 29th International Conference on Data Engineering (ICDE), April 08-11, 2013 |
 | DBSeer: Resource and Performance Prediction for Building a Next Generation Database Cloud Barzan Mozafari, Carlo Curino, and Samuel Madden In Proceedings of the Conference on Innovative Data Systems Research (CIDR), January 06-09, 2013 Download the code |
 | High-Performance Complex Event Processing over XML Streams Barzan Mozafari, Kai Zeng, and Carlo Zaniolo In Proceedings of the ACM SIGMOD 2012 Conference, May 20-24, 2012 (Best Paper Award) Read the extended version here. |
 | Blink and It's Done: Interactive Queries on Very Large Data Sameer Agarwal, Aurojit Panda, Barzan Mozafari, Anand P. Iyer, Samuel Madden, and Ion Stoica In Proceedings of the 38th International Conference on Very Large Data Bases (PVLDB), August 27-31, 2012 Download BlinkDB's official release. |
 | SMM: a Data Stream Management System for Knowledge Discovery Hetal Thakkar, Nikolay Laptev, Hamid Mousavi, Barzan Mozafari, Vincenzo Russo, and Carlo Zaniolo In Proceedings of the 27th International Conference on Data Engineering (ICDE), April 11-16, 2011 |
 | From Regular Expressions to Nested Words: Unifying Languages and Query Execution for Relational and XML Sequences Barzan Mozafari, Kai Zeng, and Carlo Zaniolo In Proceedings of the 36th International Conference on Very Large Data Bases (PVLDB), September 12-17, 2010 |
 | K*SQL: A Unifying Engine for Sequence Patterns and XML Barzan Mozafari, Kai Zeng, and Carlo Zaniolo In Proceedings of the ACM SIGMOD 2010 Conference, June 06-11, 2010 (Honorable Mention Demo Award) |
 | Optimal Load Shedding with Aggregates and Mining Queries Barzan Mozafari and Carlo Zaniolo In Proceedings of the 26th International Conference on Data Engineering (ICDE), March 01-06, 2010 |
 | Publishing Naive Bayesian Classifiers: Privacy without Accuracy Loss Barzan Mozafari and Carlo Zaniolo In Proceedings of the 35th International Conference on Very Large Data Bases (PVLDB), August 24-28, 2009 |
| Continuous Post-Mining of Association Rules in a Data Stream Management System Hetal Thakkar, Barzan Mozafari and Carlo Zaniolo In Post-Mining of Association Rules: Techniques for Effective Knowledge Extraction, edited by Yanchang Zhao, Chengqi Zhang, and Longbing Cao, Information Science Reference, |
 | Verifying and Mining Frequent Patterns from Large Windows over Data Streams Barzan Mozafari, Hetal Thakkar, and Carlo Zaniolo In Proceedings of the 24th International Conference on Data Engineering (ICDE), April 07-12, 2008 Download the source code for frequent pattern/itemset mining over data streams Download the implementation for DTV and DFV verifiers |
 | A Data Stream Mining System Hetal Thakkar, Barzan Mozafari and Carlo Zaniolo In Proceedings of the International Conference on Data Mining ICDM 2008, December 15-19, 2008 |
 | Designing an Inductive DSMS: the Stream Mill Experience Hetal Thakkar, Barzan Mozafari and Carlo Zaniolo In Proceedings of the 2nd International Workshop on Scalable Stream Processing Systems SSPS 2008 in conjunction with EDBT 2008, March 29, 2008 |
 | On the Evolution of Wikipedia Rodrigo B. Almeida, Barzan Mozafari, and Junghoo Cho In Proceedings of the International Conference on Weblogs and Social Media (ICWSM), March 26-28, 2007 |
| An Efficient Recursive Algorithm and an Explicit Formula for Calculating Update Vectors of Running Walsh-Hadamard Transform Barzan Mozafari and Mohammad Hasan Savoji In Proceedings of the 20th International Symposium on Signal Processing and its Applications ISSPA 2007, February 12-17, 2007 |
| A New Collision Resistant Hash Function based on Optimum Dimensionality Reduction using Walsh-Hadamard Transform Barzan Mozafari and Mohammad Hasan Savoji In Proceedings of 9th International Conference on Information Technology ICIT 2006, December 18-21, 2006 |