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Michael J. Cafarella
Mike Cafarella
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- affiliation: University of Michigan, Ann Arbor, USA
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2020 – today
- 2024
- [j34]Brit Youngmann, Michael J. Cafarella, Amir Gilad, Sudeepa Roy:
Summarized Causal Explanations For Aggregate Views. Proc. ACM Manag. Data 2(1): 71:1-71:27 (2024) - [j33]Wenjia He, Ibrahim Sabek, Yuze Lou, Michael J. Cafarella:
Optimizing Video Selection LIMIT Queries With Commonsense Knowledge. Proc. VLDB Endow. 17(7): 1751-1764 (2024) - [j32]Eugenie Y. Lai, Yuze Lou, Brit Youngmann, Michael J. Cafarella:
LucidScript: Bottom-up Standardization for Data Preparation. Proc. VLDB Endow. 17(12): 4317-4320 (2024) - [j31]Samuel Madden, Michael J. Cafarella, Michael J. Franklin, Tim Kraska:
Databases Unbound: Querying All of the World's Bytes with AI. Proc. VLDB Endow. 17(12): 4546-4554 (2024) - [c70]Peter Baile Chen, Yi Zhang, Chunwei Liu, Sejal Gupta, Yoon Kim, Mike Cafarella:
MDCR: A Dataset for Multi-Document Conditional Reasoning. EMNLP (Findings) 2024: 11407-11424 - [c69]Anna Zeng, Mike Cafarella:
Digging Up Threats to Validity: A Data Marshalling Approach to Sensitivity Analysis. GUIDE-AI@SIGMOD 2024: 1-5 - [c68]Markos Markakis, Ziyu Zhang, Rana Shahout, Trinity Gao, Chunwei Liu, Ibrahim Sabek, Michael J. Cafarella:
Press ECCS to Doubt (Your Causal Graph). GUIDE-AI@SIGMOD 2024: 6-15 - [c67]Markos Markakis, An Bo Chen, Brit Youngmann, Trinity Gao, Ziyu Zhang, Rana Shahout, Peter Baile Chen, Chunwei Liu, Ibrahim Sabek, Michael J. Cafarella:
Sawmill: From Logs to Causal Diagnosis of Large Systems. SIGMOD Conference Companion 2024: 444-447 - [i23]Chunwei Liu, Matthew Russo, Michael J. Cafarella, Lei Cao, Peter Baile Chen, Zui Chen, Michael J. Franklin, Tim Kraska, Samuel Madden, Gerardo Vitagliano:
A Declarative System for Optimizing AI Workloads. CoRR abs/2405.14696 (2024) - [i22]Peter Baile Chen, Yi Zhang, Chunwei Liu, Sejal Gupta, Yoon Kim, Michael J. Cafarella:
MDCR: A Dataset for Multi-Document Conditional Reasoning. CoRR abs/2406.11784 (2024) - [i21]Peter Baile Chen, Fabian Wenz, Yi Zhang, Moe Kayali, Nesime Tatbul, Michael J. Cafarella, Çagatay Demiralp, Michael Stonebraker:
BEAVER: An Enterprise Benchmark for Text-to-SQL. CoRR abs/2409.02038 (2024) - [i20]Brit Youngmann, Michael J. Cafarella, Amir Gilad, Sudeepa Roy:
Summarized Causal Explanations For Aggregate Views (Full version). CoRR abs/2410.11435 (2024) - [i19]Ferdi Kossmann, Bruce Fontaine, Daya Khudia, Michael J. Cafarella, Samuel Madden:
Is the GPU Half-Empty or Half-Full? Practical Scheduling Techniques for LLMs. CoRR abs/2410.17840 (2024) - 2023
- [j30]Matthew Perron, Raul Castro Fernandez, David J. DeWitt, Michael J. Cafarella, Samuel Madden:
Cackle: Analytical Workload Cost and Performance Stability With Elastic Pools. Proc. ACM Manag. Data 1(4): 233:1-233:25 (2023) - [j29]Oscar R. Moll, Manuel Favela, Samuel Madden, Vijay Gadepally, Michael J. Cafarella:
SeeSaw: Interactive Ad-hoc Search Over Image Databases. Proc. ACM Manag. Data 1(4): 260:1-260:26 (2023) - [j28]Sivaprasad Sudhir, Wenbo Tao, Nikolay Pavlovich Laptev, Cyrille Habis, Michael J. Cafarella, Samuel Madden:
Pando: Enhanced Data Skipping with Logical Data Partitioning. Proc. VLDB Endow. 16(9): 2316-2329 (2023) - [j27]Brit Youngmann, Michael J. Cafarella, Babak Salimi, Anna Zeng:
Causal Data Integration. Proc. VLDB Endow. 16(10): 2659-2665 (2023) - [j26]Qian Li, Peter Kraft, Michael J. Cafarella, Çagatay Demiralp, Goetz Graefe, Christos Kozyrakis, Michael Stonebraker, Lalith Suresh, Xiangyao Yu, Matei Zaharia:
R3: Record-Replay-Retroaction for Database-Backed Applications. Proc. VLDB Endow. 16(11): 3085-3097 (2023) - [j25]Wenjia He, Ibrahim Sabek, Yuze Lou, Michael J. Cafarella:
PAINE Demo: Optimizing Video Selection Queries With Commonsense Knowledge. Proc. VLDB Endow. 16(12): 3902-3905 (2023) - [c66]Qian Li, Peter Kraft, Michael J. Cafarella, Çagatay Demiralp, Goetz Graefe, Christos Kozyrakis, Michael Stonebraker, Lalith Suresh, Matei Zaharia:
Transactions Make Debugging Easy. CIDR 2023 - [c65]Brit Youngmann, Michael J. Cafarella, Yuval Moskovitch, Babak Salimi:
On Explaining Confounding Bias. ICDE 2023: 1846-1859 - [c64]Brit Youngmann, Michael J. Cafarella, Yuval Moskovitch, Babak Salimi:
NEXUS: On Explaining Confounding Bias. SIGMOD Conference Companion 2023: 171-174 - [i18]Brit Youngmann, Michael J. Cafarella, Babak Salimi, Anna Zeng:
Causal Data Integration. CoRR abs/2305.08741 (2023) - [i17]Zui Chen, Lei Cao, Sam Madden, Ju Fan, Nan Tang, Zihui Gu, Zeyuan Shang, Chunwei Liu, Michael J. Cafarella, Tim Kraska:
SEED: Simple, Efficient, and Effective Data Management via Large Language Models. CoRR abs/2310.00749 (2023) - 2022
- [j24]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:
Infrastructure for Rapid Open Knowledge Network Development. AI Mag. 43(1): 59-68 (2022) - [c63]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:
A Progress Report on DBOS: A Database-oriented Operating System. CIDR 2022 - [c62]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:
Building a Shared Conceptual Model of Complex, Heterogeneous Data Systems: A Demonstration. CIDR 2022 - [c61]Andrew Quinn, Jason Flinn, Michael J. Cafarella, Baris Kasikci:
Debugging the OmniTable Way. OSDI 2022: 357-373 - [c60]Yuze Lou, Michael J. Cafarella:
Enabling useful provenance in scripting languages with a human-in-the-loop. HILDA@SIGMOD 2022: 5:1-5:7 - [c59]Wenjia He, Michael J. Cafarella:
Controlled Intentional Degradation in Analytical Video Systems. SIGMOD Conference 2022: 2105-2119 - [c58]Azza Abouzied, Dominik Moritz, Michael J. Cafarella:
HILDA'22: The SIGMOD 2022 Workshop on Human-in-the-Loop Data Analytics. SIGMOD Conference 2022: 2552-2553 - [i16]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:
Apiary: A DBMS-Backed Transactional Function-as-a-Service Framework. CoRR abs/2208.13068 (2022) - [i15]Brit Youngmann, Michael J. Cafarella, Yuval Moskovitch, Babak Salimi:
On Explaining Confounding Bias. CoRR abs/2210.02943 (2022) - [i14]Qian Li, Peter Kraft, Michael J. Cafarella, Çagatay Demiralp, Goetz Graefe, Christos Kozyrakis, Michael Stonebraker, Lalith Suresh, Matei Zaharia:
Transactions Make Debugging Easy. CoRR abs/2212.14161 (2022) - 2021
- [j23]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:
DBOS: A DBMS-oriented Operating System. Proc. VLDB Endow. 15(1): 21-30 (2021) - [j22]Sivaprasad Sudhir, Michael J. Cafarella, Samuel Madden:
Replicated Layout for In-Memory Database Systems. Proc. VLDB Endow. 15(4): 984-997 (2021) - [c57]Deeptaanshu Kumar, Qian Li, Jason Li, Peter Kraft, Athinagoras Skiadopoulos, Lalith Suresh, Michael J. Cafarella, Michael Stonebraker:
Data Governance in a Database Operating System (DBOS). Poly/DMAH@VLDB 2021: 43-59 - [i13]El Kindi Rezig, Michael J. Cafarella, Vijay Gadepally:
Technical Report on Data Integration and Preparation. CoRR abs/2103.01986 (2021) - [i12]Songtao He, Favyen Bastani, Mohammad Alizadeh, Hari Balakrishnan, Michael J. Cafarella, Tim Kraska, Sam Madden:
TagMe: GPS-Assisted Automatic Object Annotation in Videos. CoRR abs/2103.13428 (2021) - [i11]Favyen Bastani, Songtao He, Ziwen Jiang, Osbert Bastani, Michael J. Cafarella, Tim Kraska, Sam Madden:
SkyQuery: An Aerial Drone Video Sensing Platform. CoRR abs/2103.14699 (2021) - 2020
- [c56]Christopher Baik, Zhongjun Jin, Michael J. Cafarella, H. V. Jagadish:
Constructing Expressive Relational Queries with Dual-Specification Synthesis. CIDR 2020 - [c55]Michael J. Cafarella, David J. DeWitt, Vijay Gadepally, Jeremy Kepner, Christos Kozyrakis, Tim Kraska, Michael Stonebraker, Matei Zaharia:
A Polystore Based Database Operating System (DBOS). Poly/DMAH@VLDB 2020: 3-24 - [c54]El Kindi Rezig, Allan Vanterpool, Vijay Gadepally, Benjamin Price, Michael J. Cafarella, Michael Stonebraker:
Towards Data Discovery by Example. Poly/DMAH@VLDB 2020: 66-71 - [c53]Songtao He, Favyen Bastani, Arjun Balasingam, Karthik Gopalakrishnan, Ziwen Jiang, Mohammad Alizadeh, Hari Balakrishnan, Michael J. Cafarella, Tim Kraska, Sam Madden:
BeeCluster: drone orchestration via predictive optimization. MobiSys 2020: 299-311 - [c52]Wenjia He, Michael R. Anderson, Maxwell Strome, Michael J. Cafarella:
A Method for Optimizing Opaque Filter Queries. SIGMOD Conference 2020: 1257-1272 - [c51]Favyen Bastani, Songtao He, Arjun Balasingam, Karthik Gopalakrishnan, Mohammad Alizadeh, Hari Balakrishnan, Michael J. Cafarella, Tim Kraska, Sam Madden:
MIRIS: Fast Object Track Queries in Video. SIGMOD Conference 2020: 1907-1921 - [c50]Christopher Baik, Zhongjun Jin, Michael J. Cafarella, H. V. Jagadish:
Duoquest: A Dual-Specification System for Expressive SQL Queries. SIGMOD Conference 2020: 2319-2329 - [i10]Christopher Baik, Zhongjun Jin, Michael J. Cafarella, H. V. Jagadish:
Duoquest: A Dual-Specification System for Expressive SQL Queries. CoRR abs/2003.07438 (2020) - [i9]Alana Marzoev, Samuel Madden, M. Frans Kaashoek, Michael J. Cafarella, Jacob Andreas:
Unnatural Language Processing: Bridging the Gap Between Synthetic and Natural Language Data. CoRR abs/2004.13645 (2020) - [i8]Michael J. Cafarella, David J. DeWitt, Vijay Gadepally, Jeremy Kepner, Christos Kozyrakis, Tim Kraska, Michael Stonebraker, Matei Zaharia:
DBOS: A Proposal for a Data-Centric Operating System. CoRR abs/2007.11112 (2020)
2010 – 2019
- 2019
- [c49]Saeideh Shahrokh Esfahani, Michael J. Cafarella, Maziyar Baran Pouyan, Gregory J. DeAngelo, Elena Eneva, Andy E. Fano:
Context-specific Language Modeling for Human Trafficking Detection from Online Advertisements. ACL (1) 2019: 1180-1184 - [c48]Zhongjun Jin, Christopher Baik, Michael J. Cafarella, H. V. Jagadish, Yuze Lou:
Demonstration of a Multiresolution Schema Mapping System. CIDR 2019 - [c47]Zhongjun Jin, Michael J. Cafarella, H. V. Jagadish, Sean Kandel, Michael Minar, Joseph M. Hellerstein:
CLX: Towards verifiable PBE data transformation. EDBT 2019: 265-276 - [c46]Andrew Quinn, Jason Flinn, Michael J. Cafarella:
You can't debug what you can't see: Expanding observability with the OmniTable. HotOS 2019: 163-169 - [c45]Michael R. Anderson, Michael J. Cafarella, Germán Ros, Thomas F. Wenisch:
Physical Representation-Based Predicate Optimization for a Visual Analytics Database. ICDE 2019: 1466-1477 - [c44]Yuze Lou, Mahfus Uddin, Nathaniel Brown, Michael J. Cafarella:
Knowledge Graph Programming with a Human-in-the-Loop: Preliminary Results. HILDA@SIGMOD 2019: 7:1-7:7 - 2018
- [j21]Dolan Antenucci, Michael J. Cafarella:
Constraint-based Explanation and Repair of Filter-Based Transformations. Proc. VLDB Endow. 11(9): 947-960 (2018) - [j20]Michael J. Cafarella, Alon Y. Halevy, Hongrae Lee, Jayant Madhavan, Cong Yu, Daisy Zhe Wang, Eugene Wu:
Ten Years of WebTables. Proc. VLDB Endow. 11(12): 2140-2149 (2018) - [c43]Andrew Quinn, Jason Flinn, Michael J. Cafarella:
Sledgehammer: Cluster-Fueled Debugging. OSDI 2018: 545-560 - [c42]Zhongjun Jin, Christopher Baik, Michael J. Cafarella, H. V. Jagadish:
Beaver: Towards a Declarative Schema Mapping. HILDA@SIGMOD 2018: 10:1-10:4 - [i7]Zhongjun Jin, Michael J. Cafarella, H. V. Jagadish, Sean Kandel, Michael Minar:
Unifacta: Profiling-driven String Pattern Standardization. CoRR abs/1803.00701 (2018) - [i6]Michael R. Anderson, Michael J. Cafarella, Germán Ros, Thomas F. Wenisch:
Physical Representation-based Predicate Optimization for a Visual Analytics Database. CoRR abs/1806.04226 (2018) - [i5]Zhongjun Jin, Christopher Baik, Michael J. Cafarella, H. V. Jagadish, Yuze Lou:
Demonstration of a Multiresolution Schema Mapping System. CoRR abs/1812.07658 (2018) - 2017
- [j19]Ce Zhang, Christopher Ré, Michael J. Cafarella, Jaeho Shin, Feiran Wang, Sen Wu:
DeepDive: declarative knowledge base construction. Commun. ACM 60(5): 93-102 (2017) - [c41]Zhe Chen, Sasha Dadiomov, Richard Wesley, Gang Xiao, Daniel Cory, Michael J. Cafarella, Jock D. Mackinlay:
Spreadsheet Property Detection With Rule-assisted Active Learning. CIKM 2017: 999-1008 - [c40]Yongjoo Park, Ahmad Shahab Tajik, Michael J. Cafarella, Barzan Mozafari:
Database Learning: Toward a Database that Becomes Smarter Every Time. SIGMOD Conference 2017: 587-602 - [c39]Zhongjun Jin, Michael R. Anderson, Michael J. Cafarella, H. V. Jagadish:
Foofah: Transforming Data By Example. SIGMOD Conference 2017: 683-698 - [c38]Zhongjun Jin, Michael R. Anderson, Michael J. Cafarella, H. V. Jagadish:
Foofah: A Programming-By-Example System for Synthesizing Data Transformation Programs. SIGMOD Conference 2017: 1607-1610 - [i4]Yongjoo Park, Ahmad Shahab Tajik, Michael J. Cafarella, Barzan Mozafari:
Database Learning: Toward a Database that Becomes Smarter Every Time. CoRR abs/1703.05468 (2017) - 2016
- [j18]Michael R. Anderson, Dolan Antenucci, Michael J. Cafarella:
Runtime Support for Human-in-the-Loop Feature Engineering System. IEEE Data Eng. Bull. 39(4): 62-84 (2016) - [j17]Dolan Antenucci, Michael R. Anderson, Michael J. Cafarella:
A Declarative Query Processing System for Nowcasting. Proc. VLDB Endow. 10(3): 145-156 (2016) - [c37]Manish Singh, Michael J. Cafarella, H. V. Jagadish:
DBExplorer: Exploratory Search in Databases. EDBT 2016: 89-100 - [c36]Prateek Tandon, Faissal M. Sleiman, Michael J. Cafarella, Thomas F. Wenisch:
HAWK: Hardware support for unstructured log processing. ICDE 2016: 469-480 - [c35]Michael R. Anderson, Michael J. Cafarella:
Input selection for fast feature engineering. ICDE 2016: 577-588 - [c34]Yongjoo Park, Michael J. Cafarella, Barzan Mozafari:
Visualization-aware sampling for very large databases. ICDE 2016: 755-766 - [c33]Dolan Antenucci, Michael R. Anderson, Penghua Zhao, Michael J. Cafarella:
A query system for social media signals. ICDE 2016: 1326-1329 - [c32]Michael J. Cafarella, Ihab F. Ilyas, Marcel Kornacker, Tim Kraska, Christopher Ré:
Dark Data: Are we solving the right problems? ICDE 2016: 1444-1445 - [c31]Vaibhav Gogte, Aasheesh Kolli, Michael J. Cafarella, Loris D'Antoni, Thomas F. Wenisch:
HARE: Hardware accelerator for regular expressions. MICRO 2016: 44:1-44:12 - [c30]Michael Chow, Kaushik Veeraraghavan, Michael J. Cafarella, Jason Flinn:
DQBarge: Improving Data-Quality Tradeoffs in Large-Scale Internet Services. OSDI 2016: 771-786 - [c29]Ce Zhang, Jaeho Shin, Christopher Ré, Michael J. Cafarella, Feng Niu:
Extracting Databases from Dark Data with DeepDive. SIGMOD Conference 2016: 847-859 - [c28]Zhe Chen, Michael J. Cafarella, H. V. Jagadish:
Long-tail Vocabulary Dictionary Extraction from the Web. WSDM 2016: 625-634 - 2015
- [j16]Jaeho Shin, Christopher Ré, Michael J. Cafarella:
Mindtagger: A Demonstration of Data Labeling in Knowledge Base Construction. Proc. VLDB Endow. 8(12): 1920-1923 (2015) - [j15]Yongjoo Park, Michael J. Cafarella, Barzan Mozafari:
Neighbor-Sensitive Hashing. Proc. VLDB Endow. 9(3): 144-155 (2015) - [c27]Mike Cafarella:
Synthesizing Data Programs. CIDR 2015 - [c26]Christopher Ré, Divy Agrawal, Magdalena Balazinska, Michael J. Cafarella, Michael I. Jordan, Tim Kraska, Raghu Ramakrishnan:
Machine Learning and Databases: The Sound of Things to Come or a Cacophony of Hype? SIGMOD Conference 2015: 283-284 - [c25]Zhe Chen, Michael J. Cafarella, Eytan Adar:
DiagramFlyer: A Search Engine for Data-Driven Diagrams. WWW (Companion Volume) 2015: 183-186 - [i3]Matthew Burgess, Eytan Adar, Michael J. Cafarella:
Link-Prediction Enhanced Consensus Clustering for Complex Networks. CoRR abs/1506.01461 (2015) - [i2]Yongjoo Park, Michael J. Cafarella, Barzan Mozafari:
Visualization-Aware Sampling for Very Large Databases. CoRR abs/1510.03921 (2015) - 2014
- [j14]Michael R. Anderson, Michael J. Cafarella, Yixing Jiang, Guan Wang, Bochun Zhang:
An Integrated Development Environment for Faster Feature Engineering. Proc. VLDB Endow. 7(13): 1657-1660 (2014) - [c24]Chun-Hung Hsiao, Michael J. Cafarella, Satish Narayanasamy:
Reducing MapReduce Abstraction Costs for Text-centric Applications. ICPP 2014: 40-49 - [c23]Zhe Chen, Michael J. Cafarella:
Integrating spreadsheet data via accurate and low-effort extraction. KDD 2014: 1126-1135 - [c22]Chun-Hung Hsiao, Michael J. Cafarella, Satish Narayanasamy:
Using web corpus statistics for program analysis. OOPSLA 2014: 49-65 - 2013
- [j13]Zhe Chen, Mike Cafarella, Jun Chen, Daniel Prevo, Junfeng Zhuang:
Senbazuru: A Prototype Spreadsheet Database Management System. Proc. VLDB Endow. 6(12): 1202-1205 (2013) - [j12]Dolan Antenucci, Erdong Li, Shaobo Liu, Bochun Zhang, Michael J. Cafarella, Christopher Ré:
Ringtail: A Generalized Nowcasting System. Proc. VLDB Endow. 6(12): 1358-1361 (2013) - [c21]Michael R. Anderson, Dolan Antenucci, Victor Bittorf, Matthew Burgess, Michael J. Cafarella, Arun Kumar, Feng Niu, Yongjoo Park, Christopher Ré, Ce Zhang:
Brainwash: A Data System for Feature Engineering. CIDR 2013 - [c20]Matthew Burgess, Alessandra Mazzia, Eytan Adar, Michael J. Cafarella:
Leveraging Noisy Lists for Social Feed Ranking. ICWSM 2013 - [c19]Prateek Tandon, Michael J. Cafarella, Thomas F. Wenisch:
Minimizing Remote Accesses in MapReduce Clusters. IPDPS Workshops 2013: 1928-1936 - [c18]Zhe Chen, Michael J. Cafarella:
Automatic web spreadsheet data extraction. SSW@VLDB 2013: 1:1-1:8 - [c17]Dolan Antenucci, Michael J. Cafarella, Margaret Levenstein, Christopher Ré, Matthew D. Shapiro:
Ringtail: Feature Selection For Easier Nowcasting. WebDB 2013: 49-54 - 2012
- [c16]Li Qian, Michael J. Cafarella, H. V. Jagadish:
Sample-driven schema mapping. SIGMOD Conference 2012: 73-84 - 2011
- [j11]Michael J. Cafarella, Alon Y. Halevy, Jayant Madhavan:
Structured data on the web. Commun. ACM 54(2): 72-79 (2011) - [j10]Eaman Jahani, Michael J. Cafarella, Christopher Ré:
Automatic Optimization for MapReduce Programs. Proc. VLDB Endow. 4(6): 385-396 (2011) - [c15]Michael J. Cafarella, Alon Y. Halevy:
Web data management. SIGMOD Conference 2011: 1199-1200 - [i1]Eaman Jahani, Michael J. Cafarella, Christopher Ré:
Automatic Optimization for MapReduce Programs. CoRR abs/1104.3217 (2011) - 2010
- [c14]Michael J. Cafarella, Christopher Ré:
Manimal: Relational Optimization for Data-Intensive Programs. WebDB 2010
2000 – 2009
- 2009
- [j9]Michael J. Cafarella, Alon Y. Halevy, Nodira Khoussainova:
Data Integration for the Relational Web. Proc. VLDB Endow. 2(1): 1090-1101 (2009) - [j8]Daniel J. Abadi, Michael J. Cafarella, Joseph M. Hellerstein, Donald Kossmann, Samuel Madden, Philip A. Bernstein:
How Best to Build Web-Scale Data Managers? A Panel Discussion. Proc. VLDB Endow. 2(2): 1647 (2009) - [c13]Michael J. Cafarella:
Extracting and Querying a Comprehensive Web Database. CIDR 2009 - 2008
- [j7]Michael J. Cafarella, Alon Y. Halevy, Daisy Zhe Wang, Eugene Wu, Yang Zhang:
WebTables: exploring the power of tables on the web. Proc. VLDB Endow. 1(1): 538-549 (2008) - [j6]Michael J. Cafarella, Edward Y. Chang, Andrew Fikes, Alon Y. Halevy, Wilson C. Hsieh, Alberto Lerner, Jayant Madhavan, S. Muthukrishnan:
Data management projects at Google. SIGMOD Rec. 37(1): 34-38 (2008) - [j5]Michael J. Cafarella, Jayant Madhavan, Alon Y. Halevy:
Web-scale extraction of structured data. SIGMOD Rec. 37(4): 55-61 (2008) - [j4]Luke K. McDowell, Michael J. Cafarella:
Ontology-driven, unsupervised instance population. J. Web Semant. 6(3): 218-236 (2008) - [c12]Michael J. Cafarella, Alon Y. Halevy, Yang Zhang, Daisy Zhe Wang, Eugene Wu:
Uncovering the Relational Web. WebDB 2008 - 2007
- [c11]Oren Etzioni, Michele Banko, Michael J. Cafarella:
Machine Reading. AAAI Spring Symposium: Machine Reading 2007: 1-5 - [c10]Michael J. Cafarella, Christopher Ré, Dan Suciu, Oren Etzioni:
Structured Querying of Web Text Data: A Technical Challenge. CIDR 2007: 225-234 - [c9]Michele Banko, Michael J. Cafarella, Stephen Soderland, Matthew Broadhead, Oren Etzioni:
Open Information Extraction from the Web. IJCAI 2007: 2670-2676 - [c8]Alexander Yates, Michele Banko, Matthew Broadhead, Michael J. Cafarella, Oren Etzioni, Stephen Soderland:
TextRunner: Open Information Extraction on the Web. HLT-NAACL (Demonstrations) 2007: 25-26 - [c7]Michael J. Cafarella, Dan Suciu, Oren Etzioni:
Navigating Extracted Data with Schema Discovery. WebDB 2007 - 2006
- [j3]Michael J. Cafarella, Oren Etzioni, Dan Suciu:
Structured Queries Over Web Text. IEEE Data Eng. Bull. 29(4): 45-51 (2006) - [c6]Oren Etzioni, Michele Banko, Michael J. Cafarella:
Machine Reading. AAAI 2006: 1517-1519 - [c5]