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    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, Giulio 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
    Bill Howe, Michael J. Franklin, Laura M. Haas, Tim Kraska, Jeffrey D. Ullman.
    Data Science Education: We're Missing the Boat, Again.
    33rd IEEE International Conference on Data Engineering, ICDE 2017, San Diego, CA, USA, April 19-22, 2017 2017 (0) 2017
    Conference paper
    Evan R. Sparks, Shivaram Venkataraman, Tomer Kaftan, Michael J. Franklin, Benjamin Recht.
    KeystoneML: Optimizing Pipelines for Large-Scale Advanced Analytics.
    33rd IEEE International Conference on Data Engineering, ICDE 2017, San Diego, CA, USA, April 19-22, 2017 2017 (0) 2017
    Conference paper
    Guoliang Li 0001, Jiannan Wang, Yudian Zheng, Michael J. Franklin.
    Crowdsourced Data Management: A Survey.
    33rd IEEE International Conference on Data Engineering, ICDE 2017, San Diego, CA, USA, April 19-22, 2017 2017 (0) 2017
    Conference paper
    Zhao Zhang, Evan R. Sparks, Michael J. Franklin.
    Diagnosing Machine Learning Pipelines with Fine-grained Lineage.
    Proceedings of the 26th International Symposium on High-Performance Parallel and Distributed Computing, HPDC 2017, Washington, DC, USA, June 26-30, 2017 2017 (0) 2017
    Conference paper
    Gylfi Þór Guðmundsson, Laurent Amsaleg, Björn Þór Jónsson 0001, Michael J. Franklin.
    Towards Engineering a Web-Scale Multimedia Service: A Case Study Using Spark.
    Proceedings of the 8th ACM on Multimedia Systems Conference, MMSys 2017, Taipei, Taiwan, June 20-23, 2017 2017 (0) 2017
    Conference paper
    Shivaram Venkataraman, Aurojit Panda, Kay Ousterhout, Michael Armbrust, Ali Ghodsi, Michael J. Franklin, Benjamin Recht, Ion Stoica.
    Drizzle: Fast and Adaptable Stream Processing at Scale.
    Proceedings of the 26th Symposium on Operating Systems Principles, Shanghai, China, October 28-31, 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
    Conference paper
    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 0001, Anastasia Ailamaki, Magdalena Balazinska, Philip A. Bernstein, Michael J. Carey 0001, 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
    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
    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
    Guoliang Li 0001, Jiannan Wang, Yudian Zheng, Michael J. Franklin.
    Crowdsourced Data Management: A Survey.
    IEEE Trans. Knowl. Data Eng. 2016, Volume 28 (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
    Conference paper
    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
    Conference paper
    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
    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.
    Journal of Machine Learning Research 2016, Volume 17 (0) 2016
    Show item 1 to 25 of 256  

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