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    Author information
    First name: Michael J.
    Last name: Franklin
    DBLP: f/MJFranklin
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    Below you find the publications which have been written by this author.

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    Conference paper
    Michael J. Franklin.
    Mike Franklin Spits Fire.
    CIDR 2017, 8th Biennial Conference on Innovative Data Systems Research, Chaminade, CA, USA, January 8-11, 2017, Online Proceedings 2017 (0) 2017
    Conference paper
    Daniel Crankshaw, Xin Wang, Guilio Zhou, Michael J. Franklin, Joseph Gonzalez, Ion Stoica.
    Clipper: A Low-Latency Online Prediction Serving System.
    14th USENIX Symposium on Networked Systems Design and Implementation, NSDI 2017, Boston, MA, USA, March 27-29, 2017 2017 (0) 2017
    Conference paper
    Beth Trushkowsky, Tim Kraska, Michael J. Franklin, Purnamrita Sarkar.
    Answering enumeration queries with the crowd.
    Commun. ACM 2016, Volume 59 (0) 2016
    Journal article
    Sanjay Krishnan, Jiannan Wang, Eugene Wu 0002, Michael J. Franklin, Kenneth Y. Goldberg.
    ActiveClean: Interactive Data Cleaning While Learning Convex Loss Models.
    CoRR 2016, Volume 0 (0) 2016
    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
    Journal article
    Francois Belletti, Evan R. Sparks, Michael J. Franklin, Alexandre M. Bayen, Joseph Gonzalez.
    Scalable Linear Causal Inference for Irregularly Sampled Time Series with Long Range Dependencies.
    CoRR 2016, Volume 0 (0) 2016
    Conference paper
    Sanjay Krishnan, Michael J. Franklin, Kenneth Y. Goldberg, Jiannan Wang, Eugene Wu 0002.
    ActiveClean: An Interactive Data Cleaning Framework For Modern Machine Learning.
    Proceedings of the 2016 International Conference on Management of Data, SIGMOD Conference 2016, San Francisco, CA, USA, June 26 - July 01, 2016 2016 (0) 2016
    Conference paper
    Sanjay Krishnan, Jiannan Wang, Michael J. Franklin, Kenneth Y. Goldberg, Tim Kraska.
    PrivateClean: Data Cleaning and Differential Privacy.
    Proceedings of the 2016 International Conference on Management of Data, SIGMOD Conference 2016, San Francisco, CA, USA, June 26 - July 01, 2016 2016 (0) 2016
    Conference paper
    Sanjay Krishnan, Daniel Haas, Michael J. Franklin, Eugene Wu 0002.
    Towards reliable interactive data cleaning: a user survey and recommendations.
    Proceedings of the Workshop on Human-In-the-Loop Data Analytics, HILDA@SIGMOD 2016, San Francisco, CA, USA, June 26 - July 01, 2016 2016 (0) 2016
    Conference paper
    Sanjay Krishnan, Jiannan Wang, Eugene Wu 0002, Michael J. Franklin, Kenneth Y. Goldberg.
    ActiveClean: Interactive Data Cleaning For Statistical Modeling.
    PVLDB 2015, Volume 9 (0) 2016
    Conference paper
    Guoliang Li, Jiannan Wang, Yudian Zheng, Michael J. Franklin.
    Crowdsourced Data Management: A Survey.
    IEEE Trans. Knowl. Data Eng. 2016, Volume 28 (0) 2016
    Book chapter
    Yanlei Diao, Michael J. Franklin.
    High-Performance XML Message Brokering.
    Data Stream Management - Processing High-Speed Data Streams 2016 (0) 2016
    Conference paper
    Matei Zaharia, Reynold Xin, Patrick Wendell, Tathagata Das, Michael Armbrust, Ankur Dave, Xiangrui Meng, Josh Rosen, Shivaram Venkataraman, Michael J. Franklin, Ali Ghodsi, Joseph Gonzalez, Scott Shenker, Ion Stoica.
    Apache Spark: a unified engine for big data processing.
    Commun. ACM 2016, Volume 59 (0) 2016
    Journal article
    Evan R. Sparks, Shivaram Venkataraman, Tomer Kaftan, Michael J. Franklin, Benjamin Recht.
    KeystoneML: Optimizing Pipelines for Large-Scale Advanced Analytics.
    CoRR 2016, Volume 0 (0) 2016
    Conference paper
    Liwen Sun, Michael J. Franklin, Jiannan Wang, Eugene Wu 0002.
    Skipping-oriented Partitioning for Columnar Layouts.
    PVLDB 2016, Volume 10 (0) 2016
    Journal article
    Daniel Crankshaw, Xin Wang, Giulio Zhou, Michael J. Franklin, Joseph Gonzalez, Ion Stoica.
    Clipper: A Low-Latency Online Prediction Serving System.
    CoRR 2016, Volume 0 (0) 2016
    Conference paper
    Daniel Seita, Florian T. Pokorny, Jeffrey Mahler, Danica Kragic, Michael J. Franklin, John F. Canny, Kenneth Y. Goldberg.
    Large-scale supervised learning of the grasp robustness of surface patch pairs.
    5. IEEE International Conference on Simulation, Modeling, and Programming for Autonomous Robots, SIMPAR 2016, San Francisco, CA, USA, December 13-16, 2016 2016 (0) 2016
    Conference paper
    Shivaram Venkataraman, Zongheng Yang, Michael J. Franklin, Benjamin Recht, Ion Stoica.
    Ernest: Efficient Performance Prediction for Large-Scale Advanced Analytics.
    13th USENIX Symposium on Networked Systems Design and Implementation, NSDI 2016, Santa Clara, CA, USA, March 16-18, 2016 2016 (0) 2016
    Journal article
    Evan R. Sparks, Ameet Talwalkar, Michael J. Franklin, Michael I. Jordan, Tim Kraska.
    TuPAQ: An Efficient Planner for Large-scale Predictive Analytic Queries.
    CoRR 2015, Volume 0 (0) 2015
    Conference paper
    Daniel Crankshaw, Peter Bailis, Joseph Gonzalez, Haoyuan Li, Zhao Zhang, Michael J. Franklin, Ali Ghodsi, Michael I. Jordan.
    The Missing Piece in Complex Analytics: Low Latency, Scalable Model Management and Serving with Velox.
    CIDR 2015, Seventh Biennial Conference on Innovative Data Systems Research, Asilomar, CA, USA, January 4-7, 2015, Online Proceedings 2015 (0) 2015
    Conference paper
    Michael Armbrust, Reynold Xin, Cheng Lian, Yin Huai, Davies Liu, Joseph K. Bradley, Xiangrui Meng, Tomer Kaftan, Michael J. Franklin, Ali Ghodsi, Matei Zaharia.
    Spark SQL: Relational Data Processing in Spark.
    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
    Peter Bailis, Alan Fekete, Michael J. Franklin, Ali Ghodsi, Joseph M. Hellerstein, Ion Stoica.
    Feral Concurrency Control: An Empirical Investigation of Modern Application Integrity.
    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
    Frank A. Nothaft, Matt Massie, Timothy Danford, Zhao Zhang, Uri Laserson, Carl Yeksigian, Jey Kottalam, Arun Ahuja, Jeff Hammerbacher, Michael Linderman, Michael J. Franklin, Anthony D. Joseph, David A. Patterson.
    Rethinking Data-Intensive Science Using Scalable Analytics Systems.
    Proceedings of the 2015 ACM SIGMOD International Conference on Management of Data, Melbourne, Victoria, Australia, May 31 - June 4, 2015 2015 (0) 2015
    Journal article
    Xiangrui Meng, Joseph K. Bradley, Burak Yavuz, Evan R. Sparks, Shivaram Venkataraman, Davies Liu, Jeremy Freeman, D. B. Tsai, Manish Amde, Sean Owen, Doris Xin, Reynold Xin, Michael J. Franklin, Reza Bosagh Zadeh, Matei Zaharia, Ameet Talwalkar.
    MLlib: Machine Learning in Apache Spark.
    CoRR 2015, Volume 0 (0) 2015
    Conference paper
    Beth Trushkowsky, Tim Kraska, Michael J. Franklin, Purnamrita Sarkar, Venketaram Ramachandran.
    Crowdsourcing Enumeration Queries: Estimators and Interfaces.
    IEEE Trans. Knowl. Data Eng. 2015, Volume 27 (0) 2015
    Show item 1 to 25 of 248  

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