Michael J. Cafarella

142 papers A* 17A 15B 4Misc 1Journal 69Unranked 36
YearRankTypeTitle / Venue / Authors
2026 J jnl
Abacus: A Cost-Based Optimizer for Semantic Operator Systems.
Proc. VLDB Endow.
Matthew Russo, Chunwei Liu, Sivaprasad Sudhir, Gerardo Vitagliano, Michael J. Cafarella, Tim Kraska, Samuel Madden
2025 J jnl
Abacus: A Cost-Based Optimizer for Semantic Operator Systems.
CoRR
Matthew Russo, Sivaprasad Sudhir, Gerardo Vitagliano, Chunwei Liu, Tim Kraska, Samuel Madden, Michael J. Cafarella
2025 J jnl
CONCUR: A Framework for Continual Constrained and Unconstrained Routing.
CoRR
Peter Baile Chen, Weiyue Li, Dan Roth, Michael J. Cafarella, Samuel Madden, Jacob Andreas
2025 J jnl
Can we Retrieve Everything All at Once? ARM: An Alignment-Oriented LLM-based Retrieval Method.
CoRR
Peter Baile Chen, Yi Zhang, Michael J. Cafarella, Dan Roth
2025 — conf
CauSumX: Summarized Causal Explanations For Group-By-Average Queries.
SIGMOD Conference Companion
Nativ Levy, Michael J. Cafarella, Amir Gilad, Sudeepa Roy, Brit Youngmann
2025 — conf
CausaLens: A System for Summarizing Causal DAGs.
SIGMOD Conference Companion
Noam Chen, Anna Zeng, Michael J. Cafarella, Batya Kenig, Markos Markakis, Oren Mishali, Brit Youngmann, Babak Salimi
2025 J jnl
Causal DAG Summarization (Full Version).
CoRR
Anna Zeng, Michael J. Cafarella, Batya Kenig, Markos Markakis, Brit Youngmann, Babak Salimi
2025 J jnl
Causal DAG Summarization.
Proc. VLDB Endow.
Anna Zeng, Michael J. Cafarella, Batya Kenig, Markos Markakis, Brit Youngmann, Babak Salimi
2025 J jnl
EnrichIndex: Using LLMs to Enrich Retrieval Indices Offline.
CoRR
Peter Baile Chen, Tomer Wolfson, Michael J. Cafarella, Dan Roth
2025 J jnl
KramaBench: A Benchmark for AI Systems on Data-to-Insight Pipelines over Data Lakes.
CoRR
Eugenie Lai, Gerardo Vitagliano, Ziyu Zhang, Sivaprasad Sudhir, Om Chabra, Anna Zeng, Anton A. Zabreyko, Chenning Li, Ferdi Kossmann, Jialin Ding, Jun Chen, Markos Markakis, Matthew Russo, Weiyang Wang, Ziniu Wu, Michael J. Cafarella, Lei Cao, Samuel Madden, Tim Kraska
2025 J jnl
Log-Augmented Generation: Scaling Test-Time Reasoning with Reusable Computation.
CoRR
Peter Baile Chen, Yi Zhang, Dan Roth, Samuel Madden, Jacob Andreas, Michael J. Cafarella
2025 J jnl
OpenEstimate: Evaluating LLMs on Reasoning Under Uncertainty with Real-World Data.
CoRR
Alana Renda, Jillian Ross, Michael J. Cafarella, Jacob Andreas
2025 — conf
PalimpChat: Declarative and Interactive AI analytics.
SIGMOD Conference Companion
Chunwei Liu, Gerardo Vitagliano, Brandon Rose, Matthew Printz, David Andrew Samson, Michael J. Cafarella
2025 J jnl
PalimpChat: Declarative and Interactive AI analytics.
CoRR
Chunwei Liu, Gerardo Vitagliano, Brandon Rose, Matt Prinz, David Andrew Samson, Michael J. Cafarella
2025 A conf
Palimpzest: Optimizing AI-Powered Analytics with Declarative Query Processing.
CIDR
Chunwei Liu, Matthew Russo, Michael J. Cafarella, Lei Cao, Peter Baile Chen, Zui Chen, Michael J. Franklin, Tim Kraska, Samuel Madden, Rana Shahout, Gerardo Vitagliano
2025 — conf
SeerCuts: Explainable Attribute Discretization.
SIGMOD Conference Companion
Eugenie Y. Lai, Inbal Croitoru, Noam Bitton, Ariel Shalem, Brit Youngmann, Sainyam Galhotra, El Kindi Rezig, Michael J. Cafarella
2025 J jnl
The Cambridge Report on Database Research.
CoRR
Anastasia Ailamaki, Samuel Madden, Daniel Abadi, Gustavo Alonso, Sihem Amer-Yahia, Magdalena Balazinska, Philip A. Bernstein, Peter Boncz, Michael J. Cafarella, Surajit Chaudhuri, Susan B. Davidson, David J. DeWitt, Yanlei Diao, Xin Luna Dong, Michael J. Franklin, Juliana Freire, Johannes Gehrke, Alon Y. Halevy, Joseph M. Hellerstein, Mark D. Hill, Stratos Idreos, Yannis E. Ioannidis, Christoph Koch, Donald Kossmann, Tim Kraska, Arun Kumar, Guoliang Li, Volker Markl, Renée J. Miller, C. Mohan, Thomas Neumann, Beng Chin Ooi, Fatma Ozcan, Aditya G. Parameswaran, Ippokratis Pandis, Jignesh M. Patel, Andrew Pavlo, Danica Porobic, Viktor Sanca, Michael Stonebraker, Julia Stoyanovich, Dan Suciu, Wang-Chiew Tan, Shivaram Venkataraman, Matei Zaharia, Stanley B. Zdonik
2025 B conf
Toward Standardized Data Preparation: A Bottom-Up Approach.
EDBT
Eugenie Y. Lai, Yuze Lou, Brit Youngmann, Michael J. Cafarella
2024 J jnl
A Declarative System for Optimizing AI Workloads.
CoRR
Chunwei Liu, Matthew Russo, Michael J. Cafarella, Lei Cao, Peter Baile Chen, Zui Chen, Michael J. Franklin, Tim Kraska, Samuel Madden, Gerardo Vitagliano
2024 J jnl
BEAVER: An Enterprise Benchmark for Text-to-SQL.
CoRR
Peter Baile Chen, Fabian Wenz, Yi Zhang, Moe Kayali, Nesime Tatbul, Michael J. Cafarella, Çagatay Demiralp, Michael Stonebraker
2024 J jnl
Databases Unbound: Querying All of the World's Bytes with AI.
Proc. VLDB Endow.
Samuel Madden, Michael J. Cafarella, Michael J. Franklin, Tim Kraska
2024 J jnl
From Logs to Causal Inference: Diagnosing Large Systems.
Proc. VLDB Endow.
Markos Markakis, Brit Youngmann, Trinity Gao, Ziyu Zhang, Rana Shahout, Peter Baile Chen, Chunwei Liu, Ibrahim Sabek, Michael J. Cafarella
2024 J jnl
Is the GPU Half-Empty or Half-Full? Practical Scheduling Techniques for LLMs.
CoRR
Ferdi Kossmann, Bruce Fontaine, Daya Khudia, Michael J. Cafarella, Samuel Madden
2024 J jnl
LucidScript: Bottom-up Standardization for Data Preparation.
Proc. VLDB Endow.
Eugenie Y. Lai, Yuze Lou, Brit Youngmann, Michael J. Cafarella
2024 J jnl
MDCR: A Dataset for Multi-Document Conditional Reasoning.
CoRR
Peter Baile Chen, Yi Zhang, Chunwei Liu, Sejal Gupta, Yoon Kim, Michael J. Cafarella
2024 J jnl
Optimizing Video Selection LIMIT Queries With Commonsense Knowledge.
Proc. VLDB Endow.
Wenjia He, Ibrahim Sabek, Yuze Lou, Michael J. Cafarella
2024 — conf
Press ECCS to Doubt (Your Causal Graph).
GUIDE-AI@SIGMOD
Markos Markakis, Ziyu Zhang, Rana Shahout, Trinity Gao, Chunwei Liu, Ibrahim Sabek, Michael J. Cafarella
2024 — conf
Sawmill: From Logs to Causal Diagnosis of Large Systems.
SIGMOD Conference Companion
Markos Markakis, An Bo Chen, Brit Youngmann, Trinity Gao, Ziyu Zhang, Rana Shahout, Peter Baile Chen, Chunwei Liu, Ibrahim Sabek, Michael J. Cafarella
2024 J jnl
Summarized Causal Explanations For Aggregate Views (Full version).
CoRR
Brit Youngmann, Michael J. Cafarella, Amir Gilad, Sudeepa Roy
2024 J jnl
Summarized Causal Explanations For Aggregate Views.
Proc. ACM Manag. Data
Brit Youngmann, Michael J. Cafarella, Amir Gilad, Sudeepa Roy
2023 J jnl
Cackle: Analytical Workload Cost and Performance Stability With Elastic Pools.
Proc. ACM Manag. Data
Matthew Perron, Raul Castro Fernandez, David J. DeWitt, Michael J. Cafarella, Samuel Madden
2023 J jnl
Causal Data Integration.
CoRR
Brit Youngmann, Michael J. Cafarella, Babak Salimi, Anna Zeng
2023 J jnl
Causal Data Integration.
Proc. VLDB Endow.
Brit Youngmann, Michael J. Cafarella, Babak Salimi, Anna Zeng
2023 — conf
NEXUS: On Explaining Confounding Bias.
SIGMOD Conference Companion
Brit Youngmann, Michael J. Cafarella, Yuval Moskovitch, Babak Salimi
2023 A* conf
On Explaining Confounding Bias.
ICDE
Brit Youngmann, Michael J. Cafarella, Yuval Moskovitch, Babak Salimi
2023 J jnl
PAINE Demo: Optimizing Video Selection Queries With Commonsense Knowledge.
Proc. VLDB Endow.
Wenjia He, Ibrahim Sabek, Yuze Lou, Michael J. Cafarella
2023 J jnl
Pando: Enhanced Data Skipping with Logical Data Partitioning.
Proc. VLDB Endow.
Sivaprasad Sudhir, Wenbo Tao, Nikolay Pavlovich Laptev, Cyrille Habis, Michael J. Cafarella, Samuel Madden
2023 J jnl
R
Proc. VLDB Endow.
Qian Li, Peter Kraft, Michael J. Cafarella, Çagatay Demiralp, Goetz Graefe, Christos Kozyrakis, Michael Stonebraker, Lalith Suresh, Xiangyao Yu, Matei Zaharia
2023 J jnl
SEED: Simple, Efficient, and Effective Data Management via Large Language Models.
CoRR
Zui Chen, Lei Cao, Sam Madden, Ju Fan, Nan Tang, Zihui Gu, Zeyuan Shang, Chunwei Liu, Michael J. Cafarella, Tim Kraska
2023 J jnl
SeeSaw: Interactive Ad-hoc Search Over Image Databases.
Proc. ACM Manag. Data
Oscar R. Moll, Manuel Favela, Samuel Madden, Vijay Gadepally, Michael J. Cafarella
2023 A conf
Transactions Make Debugging Easy.
CIDR
Qian Li, Peter Kraft, Michael J. Cafarella, Çagatay Demiralp, Goetz Graefe, Christos Kozyrakis, Michael Stonebraker, Lalith Suresh, Matei Zaharia
2022 A conf
A Progress Report on DBOS: A Database-oriented Operating System.
CIDR
Qian Li, Peter Kraft, Kostis Kaffes, Athinagoras Skiadopoulos, Deeptaanshu Kumar, Jason Li, Michael J. Cafarella, Goetz Graefe, Jeremy Kepner, Christos Kozyrakis, Michael Stonebraker, Lalith Suresh, Matei Zaharia
2022 J jnl
Apiary: A DBMS-Backed Transactional Function-as-a-Service Framework.
CoRR
Peter Kraft, Qian Li, Kostis Kaffes, Athinagoras Skiadopoulos, Deeptaanshu Kumar, Danny Cho, Jason Li, Robert Redmond, Nathan W. Weckwerth, Brian S. Xia, Peter Bailis, Michael J. Cafarella, Goetz Graefe, Jeremy Kepner, Christos Kozyrakis, Michael Stonebraker, Lalith Suresh, Xiangyao Yu, Matei Zaharia
2022 A conf
Building a Shared Conceptual Model of Complex, Heterogeneous Data Systems: A Demonstration.
CIDR
Michael R. Anderson, Yuze Lou, Jiayun Zou, Michael J. Cafarella, Sarah E. Chasins, Doug Downey, Tian Gao, Kexin Huang, Dinghao Shen, Jenny M. Vo-Phamhi, Yitong Wang, Yuning Wang, Anna Zeng
2022 — conf
Controlled Intentional Degradation in Analytical Video Systems.
SIGMOD Conference
Wenjia He, Michael J. Cafarella
2022 A* conf
Debugging the OmniTable Way.
OSDI
Andrew Quinn, Jason Flinn, Michael J. Cafarella, Baris Kasikci
2022 — conf
Enabling useful provenance in scripting languages with a human-in-the-loop.
HILDA@SIGMOD
Yuze Lou, Michael J. Cafarella
2022 — conf
HILDA'22: The SIGMOD 2022 Workshop on Human-in-the-Loop Data Analytics.
SIGMOD Conference
Azza Abouzied, Dominik Moritz, Michael J. Cafarella
2022 J jnl
Infrastructure for Rapid Open Knowledge Network Development.
AI Mag.
Michael J. Cafarella, Michael R. Anderson, Iz Beltagy, Arie Cattan, Sarah E. Chasins, Ido Dagan, Doug Downey, Oren Etzioni, Sergey Feldman, Tian Gao, Tom Hope, Kexin Huang, Sophie Johnson, Daniel King, Kyle Lo, Yuze Lou, Matthew D. Shapiro, Dinghao Shen, Shivashankar Subramanian, Lucy Lu Wang, Yuning Wang, Yitong Wang, Daniel S. Weld, Jenny M. Vo-Phamhi, Anna Zeng, Jiayun Zou
2022 J jnl
On Explaining Confounding Bias.
CoRR
Brit Youngmann, Michael J. Cafarella, Yuval Moskovitch, Babak Salimi
2022 J jnl
Transactions Make Debugging Easy.
CoRR
Qian Li, Peter Kraft, Michael J. Cafarella, Çagatay Demiralp, Goetz Graefe, Christos Kozyrakis, Michael Stonebraker, Lalith Suresh, Matei Zaharia
2021 J jnl
DBOS: A DBMS-oriented Operating System.
Proc. VLDB Endow.
Athinagoras Skiadopoulos, Qian Li, Peter Kraft, Kostis Kaffes, Daniel Hong, Shana Mathew, David Bestor, Michael J. Cafarella, Vijay Gadepally, Goetz Graefe, Jeremy Kepner, Christos Kozyrakis, Tim Kraska, Michael Stonebraker, Lalith Suresh, Matei Zaharia
2021 — conf
Data Governance in a Database Operating System (DBOS).
Poly/DMAH@VLDB
Deeptaanshu Kumar, Qian Li, Jason Li, Peter Kraft, Athinagoras Skiadopoulos, Lalith Suresh, Michael J. Cafarella, Michael Stonebraker
2021 J jnl
Replicated Layout for In-Memory Database Systems.
Proc. VLDB Endow.
Sivaprasad Sudhir, Michael J. Cafarella, Samuel Madden
2021 J jnl
SkyQuery: An Aerial Drone Video Sensing Platform.
CoRR
Favyen Bastani, Songtao He, Ziwen Jiang, Osbert Bastani, Michael J. Cafarella, Tim Kraska, Sam Madden
2021 J jnl
TagMe: GPS-Assisted Automatic Object Annotation in Videos.
CoRR
Songtao He, Favyen Bastani, Mohammad Alizadeh, Hari Balakrishnan, Michael J. Cafarella, Tim Kraska, Sam Madden
2021 J jnl
Technical Report on Data Integration and Preparation.
CoRR
El Kindi Rezig, Michael J. Cafarella, Vijay Gadepally
2020 — conf
A Method for Optimizing Opaque Filter Queries.
SIGMOD Conference
Wenjia He, Michael R. Anderson, Maxwell Strome, Michael J. Cafarella
2020 — conf
A Polystore Based Database Operating System (DBOS).
Poly/DMAH@VLDB
Michael J. Cafarella, David J. DeWitt, Vijay Gadepally, Jeremy Kepner, Christos Kozyrakis, Tim Kraska, Michael Stonebraker, Matei Zaharia
2020 A conf
BeeCluster: drone orchestration via predictive optimization.
MobiSys
Songtao He, Favyen Bastani, Arjun Balasingam, Karthik Gopalakrishnan, Ziwen Jiang, Mohammad Alizadeh, Hari Balakrishnan, Michael J. Cafarella, Tim Kraska, Sam Madden
2020 A conf
Constructing Expressive Relational Queries with Dual-Specification Synthesis.
CIDR
Christopher Baik, Zhongjun Jin, Michael J. Cafarella, H. V. Jagadish
2020 J jnl
DBOS: A Proposal for a Data-Centric Operating System.
CoRR
Michael J. Cafarella, David J. DeWitt, Vijay Gadepally, Jeremy Kepner, Christos Kozyrakis, Tim Kraska, Michael Stonebraker, Matei Zaharia
2020 — conf
Duoquest: A Dual-Specification System for Expressive SQL Queries.
SIGMOD Conference
Christopher Baik, Zhongjun Jin, Michael J. Cafarella, H. V. Jagadish
2020 J jnl
Duoquest: A Dual-Specification System for Expressive SQL Queries.
CoRR
Christopher Baik, Zhongjun Jin, Michael J. Cafarella, H. V. Jagadish
2020 — conf
MIRIS: Fast Object Track Queries in Video.
SIGMOD Conference
Favyen Bastani, Songtao He, Arjun Balasingam, Karthik Gopalakrishnan, Mohammad Alizadeh, Hari Balakrishnan, Michael J. Cafarella, Tim Kraska, Sam Madden
2020 — conf
Towards Data Discovery by Example.
Poly/DMAH@VLDB
El Kindi Rezig, Allan Vanterpool, Vijay Gadepally, Benjamin Price, Michael J. Cafarella, Michael Stonebraker
2020 J jnl
Unnatural Language Processing: Bridging the Gap Between Synthetic and Natural Language Data.
CoRR
Alana Marzoev, Samuel Madden, M. Frans Kaashoek, Michael J. Cafarella, Jacob Andreas
2019 B conf
CLX: Towards verifiable PBE data transformation.
EDBT
Zhongjun Jin, Michael J. Cafarella, H. V. Jagadish, Sean Kandel, Michael Minar, Joseph M. Hellerstein
2019 — conf
Context-specific Language Modeling for Human Trafficking Detection from Online Advertisements.
ACL (1)
Saeideh Shahrokh Esfahani, Michael J. Cafarella, Maziyar Baran Pouyan, Gregory J. DeAngelo, Elena Eneva, Andy E. Fano
2019 A conf
Demonstration of a Multiresolution Schema Mapping System.
CIDR
Zhongjun Jin, Christopher Baik, Michael J. Cafarella, H. V. Jagadish, Yuze Lou
2019 — conf
Knowledge Graph Programming with a Human-in-the-Loop: Preliminary Results.
HILDA@SIGMOD
Yuze Lou, Mahfus Uddin, Nathaniel Brown, Michael J. Cafarella
2019 A* conf
Physical Representation-Based Predicate Optimization for a Visual Analytics Database.
ICDE
Michael R. Anderson, Michael J. Cafarella, Germán Ros, Thomas F. Wenisch
2019 A conf
You can't debug what you can't see: Expanding observability with the OmniTable.
HotOS
Andrew Quinn, Jason Flinn, Michael J. Cafarella
2018 — conf
Beaver: Towards a Declarative Schema Mapping.
HILDA@SIGMOD
Zhongjun Jin, Christopher Baik, Michael J. Cafarella, H. V. Jagadish
2018 J jnl
Constraint-based Explanation and Repair of Filter-Based Transformations.
Proc. VLDB Endow.
Dolan Antenucci, Michael J. Cafarella
2018 J jnl
Demonstration of a Multiresolution Schema Mapping System.
CoRR
Zhongjun Jin, Christopher Baik, Michael J. Cafarella, H. V. Jagadish, Yuze Lou
2018 J jnl
Physical Representation-based Predicate Optimization for a Visual Analytics Database.
CoRR
Michael R. Anderson, Michael J. Cafarella, Germán Ros, Thomas F. Wenisch
2018 A* conf
Sledgehammer: Cluster-Fueled Debugging.
OSDI
Andrew Quinn, Jason Flinn, Michael J. Cafarella
2018 J jnl
Ten Years of WebTables.
Proc. VLDB Endow.
Michael J. Cafarella, Alon Y. Halevy, Hongrae Lee, Jayant Madhavan, Cong Yu, Daisy Zhe Wang, Eugene Wu
2018 J jnl
Unifacta: Profiling-driven String Pattern Standardization.
CoRR
Zhongjun Jin, Michael J. Cafarella, H. V. Jagadish, Sean Kandel, Michael Minar
2017 — conf
Database Learning: Toward a Database that Becomes Smarter Every Time.
SIGMOD Conference
Yongjoo Park, Ahmad Shahab Tajik, Michael J. Cafarella, Barzan Mozafari
2017 J jnl
Database Learning: Toward a Database that Becomes Smarter Every Time.
CoRR
Yongjoo Park, Ahmad Shahab Tajik, Michael J. Cafarella, Barzan Mozafari
2017 J jnl
DeepDive: declarative knowledge base construction.
Commun. ACM
Ce Zhang, Christopher Ré, Michael J. Cafarella, Jaeho Shin, Feiran Wang, Sen Wu
2017 — conf
Foofah: A Programming-By-Example System for Synthesizing Data Transformation Programs.
SIGMOD Conference
Zhongjun Jin, Michael R. Anderson, Michael J. Cafarella, H. V. Jagadish
2017 — conf
Foofah: Transforming Data By Example.
SIGMOD Conference
Zhongjun Jin, Michael R. Anderson, Michael J. Cafarella, H. V. Jagadish
2017 A conf
Spreadsheet Property Detection With Rule-assisted Active Learning.
CIKM
Zhe Chen, Sasha Dadiomov, Richard Wesley, Gang Xiao, Daniel Cory, Michael J. Cafarella, Jock D. Mackinlay
2016 J jnl
A Declarative Query Processing System for Nowcasting.
Proc. VLDB Endow.
Dolan Antenucci, Michael R. Anderson, Michael J. Cafarella
2016 A* conf
A query system for social media signals.
ICDE
Dolan Antenucci, Michael R. Anderson, Penghua Zhao, Michael J. Cafarella
2016 B conf
DBExplorer: Exploratory Search in Databases.
EDBT
Manish Singh, Michael J. Cafarella, H. V. Jagadish
2016 A* conf
DQBarge: Improving Data-Quality Tradeoffs in Large-Scale Internet Services.
OSDI
Michael Chow, Kaushik Veeraraghavan, Michael J. Cafarella, Jason Flinn
2016 A* conf
Dark Data: Are we solving the right problems?
ICDE
Michael J. Cafarella, Ihab F. Ilyas, Marcel Kornacker, Tim Kraska, Christopher Ré
2016 — conf
Extracting Databases from Dark Data with DeepDive.
SIGMOD Conference
Ce Zhang, Jaeho Shin, Christopher Ré, Michael J. Cafarella, Feng Niu
2016 A* conf
HARE: Hardware accelerator for regular expressions.
MICRO
Vaibhav Gogte, Aasheesh Kolli, Michael J. Cafarella, Loris D'Antoni, Thomas F. Wenisch
2016 A* conf
HAWK: Hardware support for unstructured log processing.
ICDE
Prateek Tandon, Faissal M. Sleiman, Michael J. Cafarella, Thomas F. Wenisch
2016 A* conf
Input selection for fast feature engineering.
ICDE
Michael R. Anderson, Michael J. Cafarella
2016 A conf
Long-tail Vocabulary Dictionary Extraction from the Web.
WSDM
Zhe Chen, Michael J. Cafarella, H. V. Jagadish
2016 J jnl
Runtime Support for Human-in-the-Loop Feature Engineering System.
IEEE Data Eng. Bull.
Michael R. Anderson, Dolan Antenucci, Michael J. Cafarella
2016 A* conf
Visualization-aware sampling for very large databases.
ICDE
Yongjoo Park, Michael J. Cafarella, Barzan Mozafari
2015 — conf
DiagramFlyer: A Search Engine for Data-Driven Diagrams.
WWW (Companion Volume)
Zhe Chen, Michael J. Cafarella, Eytan Adar
2015 J jnl
Link-Prediction Enhanced Consensus Clustering for Complex Networks.
CoRR
Matthew Burgess, Eytan Adar, Michael J. Cafarella
2015 — conf
Machine Learning and Databases: The Sound of Things to Come or a Cacophony of Hype?
SIGMOD Conference
Christopher Ré, Divy Agrawal, Magdalena Balazinska, Michael J. Cafarella, Michael I. Jordan, Tim Kraska, Raghu Ramakrishnan
2015 J jnl
Mindtagger: A Demonstration of Data Labeling in Knowledge Base Construction.
Proc. VLDB Endow.
Jaeho Shin, Christopher Ré, Michael J. Cafarella
2015 J jnl
Neighbor-Sensitive Hashing.
Proc. VLDB Endow.
Yongjoo Park, Michael J. Cafarella, Barzan Mozafari
2015 J jnl
Visualization-Aware Sampling for Very Large Databases.
CoRR
Yongjoo Park, Michael J. Cafarella, Barzan Mozafari
2014 J jnl
An Integrated Development Environment for Faster Feature Engineering.
Proc. VLDB Endow.
Michael R. Anderson, Michael J. Cafarella, Yixing Jiang, Guan Wang, Bochun Zhang
2014 A* conf
Integrating spreadsheet data via accurate and low-effort extraction.
KDD
Zhe Chen, Michael J. Cafarella
2014 B conf
Reducing MapReduce Abstraction Costs for Text-centric Applications.
ICPP
Chun-Hung Hsiao, Michael J. Cafarella, Satish Narayanasamy
2014 A conf
Using web corpus statistics for program analysis.
OOPSLA
Chun-Hung Hsiao, Michael J. Cafarella, Satish Narayanasamy
2013 — conf
Automatic web spreadsheet data extraction.
SSW@VLDB
Zhe Chen, Michael J. Cafarella
2013 A conf
Brainwash: A Data System for Feature Engineering.
CIDR
Michael R. Anderson, Dolan Antenucci, Victor Bittorf, Matthew Burgess, Michael J. Cafarella, Arun Kumar, Feng Niu, Yongjoo Park, Christopher Ré, Ce Zhang
2013 A conf
Leveraging Noisy Lists for Social Feed Ranking.
ICWSM
Matthew Burgess, Alessandra Mazzia, Eytan Adar, Michael J. Cafarella
2013 — conf
Minimizing Remote Accesses in MapReduce Clusters.
IPDPS Workshops
Prateek Tandon, Michael J. Cafarella, Thomas F. Wenisch
2013 J jnl
Ringtail: A Generalized Nowcasting System.
Proc. VLDB Endow.
Dolan Antenucci, Erdong Li, Shaobo Liu, Bochun Zhang, Michael J. Cafarella, Christopher Ré
2013 — conf
Ringtail: Feature Selection For Easier Nowcasting.
WebDB
Dolan Antenucci, Michael J. Cafarella, Margaret Levenstein, Christopher Ré, Matthew D. Shapiro
2012 — conf
Sample-driven schema mapping.
SIGMOD Conference
Li Qian, Michael J. Cafarella, H. V. Jagadish
2011 J jnl
Automatic Optimization for MapReduce Programs
CoRR
Eaman Jahani, Michael J. Cafarella, Christopher Ré
2011 J jnl
Automatic Optimization for MapReduce Programs.
Proc. VLDB Endow.
Eaman Jahani, Michael J. Cafarella, Christopher Ré
2011 J jnl
Structured data on the web.
Commun. ACM
Michael J. Cafarella, Alon Y. Halevy, Jayant Madhavan
2011 — conf
Web data management.
SIGMOD Conference
Michael J. Cafarella, Alon Y. Halevy
2010 — conf
Manimal: Relational Optimization for Data-Intensive Programs.
WebDB
Michael J. Cafarella, Christopher Ré
2009 J jnl
Data Integration for the Relational Web.
Proc. VLDB Endow.
Michael J. Cafarella, Alon Y. Halevy, Nodira Khoussainova
2009 A conf
Extracting and Querying a Comprehensive Web Database.
CIDR
Michael J. Cafarella
2009 J jnl
How Best to Build Web-Scale Data Managers? A Panel Discussion.
Proc. VLDB Endow.
Daniel J. Abadi, Michael J. Cafarella, Joseph M. Hellerstein, Donald Kossmann, Samuel Madden, Philip A. Bernstein
2008 J jnl
Data management projects at Google.
SIGMOD Rec.
Michael J. Cafarella, Edward Y. Chang, Andrew Fikes, Alon Y. Halevy, Wilson C. Hsieh, Alberto Lerner, Jayant Madhavan, S. Muthukrishnan
2008 J jnl
Ontology-driven, unsupervised instance population.
J. Web Semant.
Luke K. McDowell, Michael J. Cafarella
2008 — conf
Uncovering the Relational Web.
WebDB
Michael J. Cafarella, Alon Y. Halevy, Yang Zhang, Daisy Zhe Wang, Eugene Wu
2008 J jnl
Web-scale extraction of structured data.
SIGMOD Rec.
Michael J. Cafarella, Jayant Madhavan, Alon Y. Halevy
2008 J jnl
WebTables: exploring the power of tables on the web.
Proc. VLDB Endow.
Michael J. Cafarella, Alon Y. Halevy, Daisy Zhe Wang, Eugene Wu, Yang Zhang
2007 — conf
Machine Reading.
AAAI Spring Symposium: Machine Reading
Oren Etzioni, Michele Banko, Michael J. Cafarella
2007 — conf
Navigating Extracted Data with Schema Discovery.
WebDB
Michael J. Cafarella, Dan Suciu, Oren Etzioni
2007 A* conf
Open Information Extraction from the Web.
IJCAI
Michele Banko, Michael J. Cafarella, Stephen Soderland, Matthew Broadhead, Oren Etzioni
2007 A conf
Structured Querying of Web Text Data: A Technical Challenge.
CIDR
Michael J. Cafarella, Christopher Ré, Dan Suciu, Oren Etzioni
2007 — conf
TextRunner: Open Information Extraction on the Web.
HLT-NAACL (Demonstrations)
Alexander Yates, Michele Banko, Matthew Broadhead, Michael J. Cafarella, Oren Etzioni, Stephen Soderland
2006 A* conf
Machine Reading.
AAAI
Oren Etzioni, Michele Banko, Michael J. Cafarella
2006 Misc conf
Ontology-Driven Information Extraction with OntoSyphon.
ISWC
Luke K. McDowell, Michael J. Cafarella
2006 J jnl
Structured Queries Over Web Text.
IEEE Data Eng. Bull.
Michael J. Cafarella, Oren Etzioni, Dan Suciu
2005 A* conf
A search engine for natural language applications.
WWW
Michael J. Cafarella, Oren Etzioni
2005 — conf
KnowItNow: Fast, Scalable Information Extraction from the Web.
HLT/EMNLP
Michael J. Cafarella, Doug Downey, Stephen Soderland, Oren Etzioni
2005 J jnl
Unsupervised named-entity extraction from the Web: An experimental study.
Artif. Intell.
Oren Etzioni, Michael J. Cafarella, Doug Downey, Ana-Maria Popescu, Tal Shaked, Stephen Soderland, Daniel S. Weld, Alexander Yates
2004 J jnl
Building Nutch: Open Source Search.
ACM Queue
Michael J. Cafarella, Douglas R. Cutting
2004 A* conf
Methods for Domain-Independent Information Extraction from the Web: An Experimental Comparison.
AAAI
Oren Etzioni, Michael J. Cafarella, Doug Downey, Ana-Maria Popescu, Tal Shaked, Stephen Soderland, Daniel S. Weld, Alexander Yates
2004 A* conf
Web-scale information extraction in knowitall: (preliminary results).
WWW
Oren Etzioni, Michael J. Cafarella, Doug Downey, Stanley Kok, Ana-Maria Popescu, Tal Shaked, Stephen Soderland, Daniel S. Weld, Alexander Yates