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    Author information
    First name: AnHai
    Last name: Doan
    Company: Univ of Wisconsin
    DBLP: d/AnHaiDoan
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    Below you find the publications which have been written by this author.

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    Conference paper
    AnHai Doan.
    What is Our Agenda for Data Science?
    CIDR 2017, 8th Biennial Conference on Innovative Data Systems Research, Chaminade, CA, USA, January 8-11, 2017, Online Proceedings 2017 (0) 2017
    Conference paper
    Fatemah Panahi, Wentao Wu, AnHai Doan, Jeffrey F. Naughton.
    Towards Interactive Debugging of Rule-based Entity Matching.
    Proceedings of the 20th International Conference on Extending Database Technology, EDBT 2017, Venice, Italy, March 21-24, 2017. 2017 (0) 2017
    Conference paper
    Daniel J. 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 2016, Volume 59 (0) 2016
    Conference paper
    Pradap Konda, Sanjib Das, Paul Suganthan G. C., AnHai Doan, Adel Ardalan, Jeffrey R. Ballard, Han Li, Fatemah Panahi, Haojun Zhang, Jeffrey F. Naughton, Shishir Prasad, Ganesh Krishnan, Rohit Deep, Vijay Raghavendra.
    Magellan: Toward Building Entity Matching Management Systems.
    PVLDB 2015, Volume 9 (0) 2016
    Conference paper
    Pradap Konda, Sanjib Das, Paul Suganthan G. C., AnHai Doan, Adel Ardalan, Jeffrey R. Ballard, Han Li, Fatemah Panahi, Haojun Zhang, Jeffrey F. Naughton, Shishir Prasad, Ganesh Krishnan, Rohit Deep, Vijay Raghavendra.
    Magellan: Toward Building Entity Matching Management Systems over Data Science Stacks.
    PVLDB 2015, Volume 9 (0) 2016
    Conference paper
    Akanksha Baid, Wentao Wu, Chong Sun, AnHai Doan, Jeffrey F. Naughton.
    On Debugging Non-Answers in Keyword Search Systems.
    Proceedings of the 18th International Conference on Extending Database Technology, EDBT 2015, Brussels, Belgium, March 23-27, 2015. 2015 (0) 2015
    Conference paper
    Paul Suganthan G. C., Chong Sun, Krishna Gayatri K., Haojun Zhang, Frank Yang, Narasimhan Rampalli, Shishir Prasad, Esteban Arcaute, Ganesh Krishnan, Rohit Deep, Vijay Raghavendra, AnHai Doan.
    Why Big Data Industrial Systems Need Rules and What We Can Do About It.
    Proceedings of the 2015 ACM SIGMOD International Conference on Management of Data, Melbourne, Victoria, Australia, May 31 - June 4, 2015 2015 (0) 2015
    Conference paper
    Yueh-Hsuan Chiang, AnHai Doan, Jeffrey F. Naughton.
    Tracking Entities in the Dynamic World: A Fast Algorithm for Matching Temporal Records.
    PVLDB 2013, Volume 7 (0) 2014
    Conference paper
    Chaitanya Gokhale, Sanjib Das, AnHai Doan, Jeffrey F. Naughton, Narasimhan Rampalli, Jude W. Shavlik, Xiaojin Zhu 0001.
    Corleone: hands-off crowdsourcing for entity matching.
    International Conference on Management of Data, SIGMOD 2014, Snowbird, UT, USA, June 22-27, 2014 2014 (0) 2014
    Conference paper
    Yueh-Hsuan Chiang, AnHai Doan, Jeffrey F. Naughton.
    Modeling entity evolution for temporal record matching.
    International Conference on Management of Data, SIGMOD 2014, Snowbird, UT, USA, June 22-27, 2014 2014 (0) 2014
    Conference paper
    Chong Sun, Narasimhan Rampalli, Frank Yang, AnHai Doan.
    Chimera: Large-Scale Classification using Machine Learning, Rules, and Crowdsourcing.
    PVLDB 2013, Volume 7 (0) 2014
    Conference paper
    Daniel J. 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.
    SIGMOD Record 2014, Volume 43 (0) 2014
    Journal article
    Peter Haddawy, AnHai Doan, Richard Goodwin.
    Efficient Decision-Theoretic Planning: Techniques and Empirical Analysis
    CoRR 2013, Volume 0 (0) 2013
    Journal article
    AnHai Doan, Peter Haddawy.
    Sound Abstraction of Probabilistic Actions in The Constraint Mass Assignment Framework
    CoRR 2013, Volume 0 (0) 2013
    Journal article
    Peter Haddawy, AnHai Doan.
    Abstracting Probabilistic Actions
    CoRR 2013, Volume 0 (0) 2013
    Conference paper
    Omkar Deshpande, Digvijay S. Lamba, Michel Tourn, Sanjib Das, Sri Subramaniam, Anand Rajaraman, Venky Harinarayan, AnHai Doan.
    Building, maintaining, and using knowledge bases: a report from the trenches.
    Proceedings of the ACM SIGMOD International Conference on Management of Data, SIGMOD 2013, New York, NY, USA, June 22-27, 2013 2013 (0) 2013
    Conference paper
    AnHai Doan.
    Badger: Toward Crowdsourcing the Building of Structured Knowledge Bases.
    Proceedings of the 16th International Workshop on the Web and Databases 2013, WebDB 2013, New York, NY, USA, June 23, 2013. 2013 (0) 2013
    Conference paper
    Abhishek Gattani, Digvijay S. Lamba, Nikesh Garera, Mitul Tiwari, Xiaoyong Chai, Sanjib Das, Sri Subramaniam, Anand Rajaraman, Venky Harinarayan, AnHai Doan.
    Entity Extraction, Linking, Classification, and Tagging for Social Media: A Wikipedia-Based Approach.
    PVLDB 2012, Volume 6 (0) 2013
    Conference paper
    Xiaoyong Chai, Omkar Deshpande, Nikesh Garera, Abhishek Gattani, Wang Lam, Digvijay S. Lamba, Lu Liu, Mitul Tiwari, Michel Tourn, Zoheb Vacheri, STS Prasad, Sri Subramaniam, Venky Harinarayan, Anand Rajaraman, Adel Ardalan, Sanjib Das, Paul Suganthan G. C., AnHai Doan.
    Social Media Analytics: The Kosmix Story.
    IEEE Data Eng. Bull. 2013, Volume 36 (0) 2013
    Conference paper
    Wang Lam, Lu Liu, STS Prasad, Anand Rajaraman, Zoheb Vacheri, AnHai Doan.
    Muppet: MapReduce-Style Processing of Fast Data.
    PVLDB 2011, Volume 5 (0) 2012
    Conference paper
    Wang Lam, Lu Liu, STS Prasad, Anand Rajaraman, Zoheb Vacheri, AnHai Doan.
    Muppet: MapReduce-Style Processing of Fast Data
    CoRR 2012, Volume 0 (0) 2012
    Conference paper
    Feng Niu, Christopher Ré, AnHai Doan, Jude Shavlik.
    Tuffy: Scaling up Statistical Inference in Markov Logic Networks using an RDBMS.
    PVLDB 2011, Volume 4 (0) 2011
    Conference paper
    AnHai Doan, Raghu Ramakrishnan, Alon Y. Halevy.
    Crowdsourcing systems on the World-Wide Web.
    Commun. ACM 2011, Volume 54 (0) 2011
    Journal article
    Feng Niu, Christopher Ré, AnHai Doan, Jude W. Shavlik.
    Tuffy: Scaling up Statistical Inference in Markov Logic Networks using an RDBMS
    CoRR 2011, Volume 0 (0) 2011
    Conference paper
    AnHai Doan, Michael J. Franklin, Donald Kossmann, Tim Kraska.
    Crowdsourcing Applications and Platforms: A Data Management Perspective.
    PVLDB 2011, Volume 4 (0) 2011
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