Publications
Search

Publications :: Search

Show author

On this page you see the details of the selected author.

    Author information
    First name: Michael J.
    Last name: Franklin
    DBLP: f/MJFranklin
    Rating: (not rated yet)
    Bookmark:

    Below you find the publications which have been written by this author.

    Show item 1 to 100 of 244  
    Select a publication
    Show Title Venue Rating Date
    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
    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
    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
    Conference paper
    Alan Fekete, Judy Kay, Michael J. Franklin, Debjanee Barua, Bob Kummerfeld.
    Managing information for personal goals (vision).
    31st IEEE International Conference on Data Engineering Workshops, ICDE Workshops 2015, Seoul, South Korea, April 13-17, 2015 2015 (0) 2015
    Journal article
    Zhao Zhang, Kyle Barbary, Frank A. Nothaft, Evan R. Sparks, Oliver Zahn, Michael J. Franklin, David A. Patterson, Saul Perlmutter.
    Scientific Computing Meets Big Data Technology: An Astronomy Use Case.
    CoRR 2015, Volume 0 (0) 2015
    Conference paper
    Daniel Haas, Sanjay Krishnan, Jiannan Wang, Michael J. Franklin, Eugene Wu 0002.
    Wisteria: Nurturing Scalable Data Cleaning Infrastructure.
    PVLDB 2014, Volume 8 (0) 2015
    Conference paper
    Sanjay Krishnan, Jiannan Wang, Michael J. Franklin, Kenneth Y. Goldberg, Tim Kraska.
    Stale View Cleaning: Getting Fresh Answers from Stale Materialized Views.
    PVLDB 2014, Volume 8 (0) 2015
    Conference paper
    Evan R. Sparks, Ameet Talwalkar, Daniel Haas, Michael J. Franklin, Michael I. Jordan, Tim Kraska.
    Automating model search for large scale machine learning.
    Proceedings of the Sixth ACM Symposium on Cloud Computing, SoCC 2015, Kohala Coast, Hawaii, USA, August 27-29, 2015 2015 (0) 2015
    Journal article
    Sanjay Krishnan, Jiannan Wang, Michael J. Franklin, Kenneth Y. Goldberg, Tim Kraska.
    Stale View Cleaning: Getting Fresh Answers from Stale Materialized Views.
    CoRR 2015, Volume 0 (0) 2015
    Journal article
    Daniel Haas, Jiannan Wang, Eugene Wu 0002, Michael J. Franklin.
    CLAMShell: Speeding up Crowds for Low-latency Data Labeling.
    CoRR 2015, Volume 0 (0) 2015
    Journal article
    Joseph Gonzalez, Peter Bailis, Michael I. Jordan, Michael J. Franklin, Joseph M. Hellerstein, Ali Ghodsi, Ion Stoica.
    Asynchronous Complex Analytics in a Distributed Dataflow Architecture.
    CoRR 2015, Volume 0 (0) 2015
    Journal article
    Francois Belletti, Evan R. Sparks, Michael J. Franklin, Alexandre M. Bayen.
    Embarrassingly Parallel Time Series Analysis for Large Scale Weak Memory Systems.
    CoRR 2015, Volume 0 (0) 2015
    Conference paper
    Daniel Haas, Jiannan Wang, Eugene Wu 0002, Michael J. Franklin.
    CLAMShell: Speeding up Crowds for Low-latency Data Labeling.
    PVLDB 2015, Volume 9 (0) 2015
    Conference paper
    Zhao Zhang, Kyle Barbary, Frank A. Nothaft, Evan R. Sparks, Oliver Zahn, Michael J. Franklin, David A. Patterson, Saul Perlmutter.
    Scientific computing meets big data technology: An astronomy use case.
    2015 IEEE International Conference on Big Data, Big Data 2015, Santa Clara, CA, USA, October 29 - November 1, 2015 2015 (0) 2015
    Conference paper
    Sanjay Krishnan, Jiannan Wang, Michael J. Franklin, Kenneth Y. Goldberg, Tim Kraska, Tova Milo, Eugene Wu 0002.
    SampleClean: Fast and Reliable Analytics on Dirty Data.
    IEEE Data Eng. Bull. 2015, Volume 38 (0) 2015
    Conference paper
    Zhitao Shen, Vikram Kumaran, Michael J. Franklin, Sailesh Krishnamurthy, Amit Bhat, Madhu Kumar, Robert Lerche, Kim Macpherson.
    CSA: Streaming Engine for Internet of Things.
    IEEE Data Eng. Bull. 2015, Volume 38 (0) 2015
    Journal article
    Reynold Xin, Daniel Crankshaw, Ankur Dave, Joseph E. Gonzalez, Michael J. Franklin, Ion Stoica.
    GraphX: Unifying Data-Parallel and Graph-Parallel Analytics.
    CoRR 2014, Volume 0 (0) 2014
    Journal article
    Peter Bailis, Alan Fekete, Michael J. Franklin, Ali Ghodsi, Joseph M. Hellerstein, Ion Stoica.
    Coordination-Avoiding Database Systems.
    CoRR 2014, Volume 0 (0) 2014
    Conference paper
    Peter Bailis, Shivaram Venkataraman, Michael J. Franklin, Joseph M. Hellerstein, Ion Stoica.
    Quantifying eventual consistency with PBS.
    VLDB J. 2014, Volume 23 (0) 2014
    Book chapter
    Michael J. Franklin.
    Concurrency Control and Recovery.
    Computing Handbook, Third Edition: Information Systems and Information Technology 2014 (0) 2014
    Conference paper
    Liwen Sun, Michael J. Franklin, Sanjay Krishnan, Reynold Xin.
    Fine-grained partitioning for aggressive data skipping.
    International Conference on Management of Data, SIGMOD 2014, Snowbird, UT, USA, June 22-27, 2014 2014 (0) 2014
    Conference paper
    Bill Howe, Michael J. Franklin, Juliana Freire, James Frew, Tim Kraska, Raghu Ramakrishnan.
    Should we all be teaching "intro to data science" instead of "intro to databases"?
    International Conference on Management of Data, SIGMOD 2014, Snowbird, UT, USA, June 22-27, 2014 2014 (0) 2014
    Conference paper
    Gene Pang, Tim Kraska, Michael J. Franklin, Alan Fekete.
    PLANET: making progress with commit processing in unpredictable environments.
    International Conference on Management of Data, SIGMOD 2014, Snowbird, UT, USA, June 22-27, 2014 2014 (0) 2014
    Conference paper
    Jiannan Wang, Sanjay Krishnan, Michael J. Franklin, Kenneth Y. Goldberg, Tim Kraska, Tova Milo.
    A sample-and-clean framework for fast and accurate query processing on dirty data.
    International Conference on Management of Data, SIGMOD 2014, Snowbird, UT, USA, June 22-27, 2014 2014 (0) 2014
    Conference paper
    Peter Bailis, Shivaram Venkataraman, Michael J. Franklin, Joseph M. Hellerstein, Ion Stoica.
    Quantifying eventual consistency with PBS.
    Commun. ACM 2014, Volume 57 (0) 2014
    Conference paper
    Liwen Sun, Sanjay Krishnan, Reynold Xin, Michael J. Franklin.
    A Partitioning Framework for Aggressive Data Skipping.
    PVLDB 2013, Volume 7 (0) 2014
    Journal article
    Jiannan Wang, Guoliang Li, Tim Kraska, Michael J. Franklin, Jianhua Feng.
    Leveraging Transitive Relations for Crowdsourced Joins.
    CoRR 2014, Volume 0 (0) 2014
    Journal article
    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.
    CoRR 2014, Volume 0 (0) 2014
    Journal article
    Jiannan Wang, Guoliang Li, Tim Kraska, Michael J. Franklin, Jianhua Feng.
    The Expected Optimal Labeling Order Problem for Crowdsourced Joins and Entity Resolution.
    CoRR 2014, Volume 0 (0) 2014
    Conference paper
    Sanjay Krishnan, Jay Patel, Michael J. Franklin, Kenneth Y. Goldberg.
    A methodology for learning, analyzing, and mitigating social influence bias in recommender systems.
    Eighth ACM Conference on Recommender Systems, RecSys '14, Foster City, Silicon Valley, CA, USA - October 06 - 10, 2014 2014 (0) 2014
    Conference paper
    Barzan Mozafari, Purnamrita Sarkar, Michael J. Franklin, Michael I. Jordan, Samuel Madden.
    Scaling Up Crowd-Sourcing to Very Large Datasets: A Case for Active Learning.
    PVLDB 2014, Volume 8 (0) 2014
    Conference paper
    Jeffrey Mahler, Sanjay Krishnan, Michael Laskey, Siddarth Sen, Adithyavairavan Murali, Ben Kehoe, Sachin Patil, Jiannan Wang, Michael J. Franklin, Pieter Abbeel, Kenneth Y. Goldberg.
    Learning accurate kinematic control of cable-driven surgical robots using data cleaning and Gaussian Process Regression.
    2014 IEEE International Conference on Automation Science and Engineering, CASE 2014, New Taipei, Taiwan, August 18-22, 2014 2014 (0) 2014
    Conference paper
    Jun Suzuki, Shivaram Venkataraman, Sameer Agarwal, Michael J. Franklin, Ion Stoica.
    Record Placement Based on Data Skew Using Solid State Drives.
    Big Data Benchmarks, Performance Optimization, and Emerging Hardware - 4th and 5th Workshops, BPOE 2014, Salt Lake City, USA, March 1, 2014 and Hangzhou, China, September 5, 2014, Revised Selected Papers 2014 (0) 2014
    Conference paper
    Shivaram Venkataraman, Aurojit Panda, Ganesh Ananthanarayanan, Michael J. Franklin, Ion Stoica.
    The Power of Choice in Data-Aware Cluster Scheduling.
    11th USENIX Symposium on Operating Systems Design and Implementation, OSDI '14, Broomfield, CO, USA, October 6-8, 2014. 2014 (0) 2014
    Conference paper
    Joseph Gonzalez, Reynold Xin, Ankur Dave, Daniel Crankshaw, Michael J. Franklin, Ion Stoica.
    GraphX: Graph Processing in a Distributed Dataflow Framework.
    11th USENIX Symposium on Operating Systems Design and Implementation, OSDI '14, Broomfield, CO, USA, October 6-8, 2014. 2014 (0) 2014
    Conference paper
    Peter Bailis, Alan Fekete, Michael J. Franklin, Ali Ghodsi, Joseph M. Hellerstein, Ion Stoica.
    Coordination Avoidance in Database Systems.
    PVLDB 2014, Volume 8 (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
    Conference paper
    Tim Kraska, Gene Pang, Michael J. Franklin, Samuel Madden, Alan Fekete.
    MDCC: multi-data center consistency.
    Eighth Eurosys Conference 2013, EuroSys '13, Prague, Czech Republic, April 14-17, 2013 2013 (0) 2013
    Conference paper
    Tim Kraska, Ameet Talwalkar, John C. Duchi, Rean Griffith, Michael J. Franklin, Michael I. Jordan.
    MLbase: A Distributed Machine-learning System.
    CIDR 2013, Sixth Biennial Conference on Innovative Data Systems Research, Asilomar, CA, USA, January 6-9, 2013, Online Proceedings 2013 (0) 2013
    Conference paper
    Gianluca Demartini, Beth Trushkowsky, Tim Kraska, Michael J. Franklin.
    CrowdQ: Crowdsourced Query Understanding.
    CIDR 2013, Sixth Biennial Conference on Innovative Data Systems Research, Asilomar, CA, USA, January 6-9, 2013, Online Proceedings 2013 (0) 2013
    Conference paper
    Reynold Xin, Josh Rosen, Matei Zaharia, Michael J. Franklin, Scott Shenker, Ion Stoica.
    Shark: SQL and rich analytics at scale.
    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
    Michael Armbrust, Eric Liang, Tim Kraska, Armando Fox, Michael J. Franklin, David A. Patterson.
    Generalized scale independence through incremental precomputation.
    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
    Peter Bailis, Shivaram Venkataraman, Michael J. Franklin, Joseph M. Hellerstein, Ion Stoica.
    PBS at work: advancing data management with consistency metrics.
    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
    Jan Schaffner, Tim Januschowski, Megan Kercher, Tim Kraska, Hasso Plattner, Michael J. Franklin, Dean Jacobs.
    RTP: robust tenant placement for elastic in-memory database clusters.
    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
    Jiannan Wang, Guoliang Li, Tim Kraska, Michael J. Franklin, Jianhua Feng.
    Leveraging transitive relations for crowdsourced joins.
    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
    Beth Trushkowsky, Tim Kraska, Michael J. Franklin, Purnamrita Sarkar.
    Crowdsourced enumeration queries.
    29th IEEE International Conference on Data Engineering, ICDE 2013, Brisbane, Australia, April 8-12, 2013 2013 (0) 2013
    Conference paper
    Michael J. Franklin.
    Making sense of big data with the Berkeley data analytics stack.
    Conference on Scientific and Statistical Database Management, SSDBM '13, Baltimore, MD, USA, July 29 - 31, 2013 2013 (0) 2013
    Conference paper
    Reynold Xin, Joseph E. Gonzalez, Michael J. Franklin, Ion Stoica.
    GraphX: a resilient distributed graph system on Spark.
    First International Workshop on Graph Data Management Experiences and Systems, GRADES 2013, co-loated with SIGMOD/PODS 2013, New York, NY, USA, June 24, 2013 2013 (0) 2013
    Journal article
    Evan R. Sparks, Ameet Talwalkar, Virginia Smith, Jey Kottalam, Xinghao Pan, Joseph E. Gonzalez, Michael J. Franklin, Michael I. Jordan, Tim Kraska.
    MLI: An API for Distributed Machine Learning.
    CoRR 2013, Volume 0 (0) 2013
    Conference paper
    Beth Trushkowsky, Tim Kraska, Michael J. Franklin.
    A Framework for Adaptive Crowd Query Processing.
    Proceedings of the First AAAI Conference on Human Computation and Crowdsourcing, HCOMP 2013, November 7-9, 2013, Palm Springs, CA, USA 2013 (0) 2013
    Conference paper
    Beth Trushkowsky, Tim Kraska, Michael J. Franklin.
    A Framework for Adaptive Crowd Query Processing.
    Human Computation and Crowdsourcing: Works in Progress and Demonstration Abstracts, An Adjunct to the Proceedings of the First AAAI Conference on Human Computation and Crowdsourcing, November 7-9, 2013, Palm Springs, CA, USA 2013 (0) 2013
    Conference paper
    Evan R. Sparks, Ameet Talwalkar, Virginia Smith, Jey Kottalam, Xinghao Pan, Joseph E. Gonzalez, Michael J. Franklin, Michael I. Jordan, Tim Kraska.
    MLI: An API for Distributed Machine Learning.
    2013 IEEE 13th International Conference on Data Mining, Dallas, TX, USA, December 7-10, 2013 2013 (0) 2013
    Conference paper
    Peter Bailis, Shivaram Venkataraman, Michael J. Franklin, Joseph M. Hellerstein, Ion Stoica.
    Probabilistically Bounded Staleness for Practical Partial Quorums.
    PVLDB 2011, Volume 5 (0) 2012
    Conference paper
    Cliff Engle, Antonio Lupher, Reynold Xin, Matei Zaharia, Michael J. Franklin, Scott Shenker, Ion Stoica.
    Shark: fast data analysis using coarse-grained distributed memory.
    Proceedings of the ACM SIGMOD International Conference on Management of Data, SIGMOD 2012, Scottsdale, AZ, USA, May 20-24, 2012 2012 (0) 2012
    Conference paper
    Jiannan Wang, Tim Kraska, Michael J. Franklin, Jianhua Feng.
    CrowdER: Crowdsourcing Entity Resolution.
    PVLDB 2011, Volume 5 (0) 2012
    Conference paper
    Wolfgang Lehner, Michael J. Franklin.
    Special section on large-scale analytics.
    VLDB J. 2012, Volume 21 (0) 2012
    Journal article
    Barzan Mozafari, Purnamrita Sarkar, Michael J. Franklin, Michael I. Jordan, Samuel Madden.
    Active Learning for Crowd-Sourced Databases
    CoRR 2012, Volume 0 (0) 2012
    Conference paper
    Jiannan Wang, Tim Kraska, Michael J. Franklin, Jianhua Feng.
    CrowdER: Crowdsourcing Entity Resolution
    CoRR 2012, Volume 0 (0) 2012
    Conference paper
    Beth Trushkowsky, Tim Kraska, Michael J. Franklin, Purnamrita Sarkar.
    Getting It All from the Crowd
    CoRR 2012, Volume 0 (0) 2012
    Conference paper
    Tim Kraska, Gene Pang, Michael J. Franklin, Samuel Madden.
    MDCC: Multi-Data Center Consistency
    CoRR 2012, Volume 0 (0) 2012
    Conference paper
    Peter Bailis, Shivaram Venkataraman, Michael J. Franklin, Joseph M. Hellerstein, Ion Stoica.
    Probabilistically Bounded Staleness for Practical Partial Quorums
    CoRR 2012, Volume 0 (0) 2012
    Journal article
    Reynold Xin, Josh Rosen, Matei Zaharia, Michael J. Franklin, Scott Shenker, Ion Stoica.
    Shark: SQL and Rich Analytics at Scale
    CoRR 2012, Volume 0 (0) 2012
    Conference paper
    Matei Zaharia, Mosharaf Chowdhury, Tathagata Das, Ankur Dave, Justin Ma, Murphy McCauly, Michael J. Franklin, Scott Shenker, Ion Stoica.
    Resilient Distributed Datasets: A Fault-Tolerant Abstraction for In-Memory Cluster Computing.
    Proceedings of the 9th USENIX Symposium on Networked Systems Design and Implementation, NSDI 2012, San Jose, CA, USA, April 25-27, 2012 2012 (0) 2012
    Conference paper
    Beth Trushkowsky, Peter Bodík, Armando Fox, Michael J. Franklin, Michael I. Jordan, David A. Patterson.
    The SCADS Director: Scaling a Distributed Storage System Under Stringent Performance Requirements.
    9th USENIX Conference on File and Storage Technologies, San Jose, CA, USA, February 15-17, 2011 2011 (0) 2011
    Conference paper
    Michael J. Franklin, Donald Kossmann, Tim Kraska, Sukriti Ramesh, Reynold Xin.
    CrowdDB: answering queries with crowdsourcing.
    Proceedings of the ACM SIGMOD International Conference on Management of Data, SIGMOD 2011, Athens, Greece, June 12-16, 2011 2011 (0) 2011
    Conference paper
    Daisy Zhe Wang, Michael J. Franklin, Minos N. Garofalakis, Joseph M. Hellerstein, Michael L. Wick.
    Hybrid in-database inference for declarative information extraction.
    Proceedings of the ACM SIGMOD International Conference on Management of Data, SIGMOD 2011, Athens, Greece, June 12-16, 2011 2011 (0) 2011
    Conference paper
    Michael J. Franklin.
    Data analysis at astonishing speed: technical perspective.
    Commun. ACM 2011, Volume 54 (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
    Conference paper
    Michael J. Franklin.
    Mobile Data Management - A Dozen Years Later.
    12th IEEE International Conference on Mobile Data Management, MDM 2011, Luleå, Sweden, June 6-9, 2011, Volume 1 2011 (0) 2011
    Conference paper
    Michael Armbrust, Kristal Curtis, Tim Kraska, Armando Fox, Michael J. Franklin, David A. Patterson.
    PIQL: Success-Tolerant Query Processing in the Cloud.
    PVLDB 2011, Volume 5 (0) 2011
    Journal article
    Michael Armbrust, Kristal Curtis, Tim Kraska, Armando Fox, Michael J. Franklin, David A. Patterson.
    PIQL: Success-Tolerant Query Processing in the Cloud
    CoRR 2011, Volume 0 (0) 2011
    Conference paper
    Timothy Hunter, Teodor Mihai Moldovan, Matei Zaharia, Samy Merzgui, Justin Ma, Michael J. Franklin, Pieter Abbeel, Alexandre M. Bayen.
    Scaling the mobile millennium system in the cloud.
    ACM Symposium on Cloud Computing in conjunction with SOSP 2011, SOCC '11, Cascais, Portugal, October 26-28, 2011 2011 (0) 2011
    Conference paper
    Amber Feng, Michael J. Franklin, Donald Kossmann, Tim Kraska, Samuel Madden, Sukriti Ramesh, Andrew Wang, Reynold Xin.
    CrowdDB: Query Processing with the VLDB Crowd
    PVLDB 2011, Volume 4 (0) 2011
    Conference paper
    Michael Armbrust, Stephen Tu, Armando Fox, Michael J. Franklin, David A. Patterson, Nick Lanham, Beth Trushkowsky, Jesse Trutna.
    PIQL: a performance insightful query language.
    Proceedings of the ACM SIGMOD International Conference on Management of Data, SIGMOD 2010, Indianapolis, Indiana, USA, June 6-10, 2010 2010 (0) 2010
    Conference paper
    Sihem Amer-Yahia, AnHai Doan, Jon M. Kleinberg, Nick Koudas, Michael J. Franklin.
    Crowds, clouds, and algorithms: exploring the human side of "big data" applications.
    Proceedings of the ACM SIGMOD International Conference on Management of Data, SIGMOD 2010, Indianapolis, Indiana, USA, June 6-10, 2010 2010 (0) 2010
    Conference paper
    Sailesh Krishnamurthy, Michael J. Franklin, Jeffrey Davis, Daniel Farina, Pasha Golovko, Alan Li, Neil Thombre.
    Continuous analytics over discontinuous streams.
    Proceedings of the ACM SIGMOD International Conference on Management of Data, SIGMOD 2010, Indianapolis, Indiana, USA, June 6-10, 2010 2010 (0) 2010
    Conference paper
    Michael Armbrust, Nick Lanham, Stephen Tu, Armando Fox, Michael J. Franklin, David A. Patterson.
    The case for PIQL: a performance insightful query language.
    Proceedings of the 1st ACM Symposium on Cloud Computing, SoCC 2010, Indianapolis, Indiana, USA, June 10-11, 2010 2010 (0) 2010
    Conference paper
    Peter Bodík, Armando Fox, Michael J. Franklin, Michael I. Jordan, David A. Patterson.
    Characterizing, modeling, and generating workload spikes for stateful services.
    Proceedings of the 1st ACM Symposium on Cloud Computing, SoCC 2010, Indianapolis, Indiana, USA, June 10-11, 2010 2010 (0) 2010
    Conference paper
    Michael J. Franklin.
    Continuous analytics: data stream query processing in practice.
    Proceedings of the Fourth ACM International Conference on Distributed Event-Based Systems, DEBS 2010, Cambridge, United Kingdom, July 12-15, 2010 2010 (0) 2010
    Journal article
    Daisy Zhe Wang, Michael J. Franklin, Minos N. Garofalakis, Joseph M. Hellerstein.
    Querying Probabilistic Information Extraction.
    PVLDB 2010, Volume 3 (0) 2010
    Conference paper
    Matei Zaharia, Mosharaf Chowdhury, Michael J. Franklin, Scott Shenker, Ion Stoica.
    Spark: Cluster Computing with Working Sets.
    2nd USENIX Workshop on Hot Topics in Cloud Computing, HotCloud'10, Boston, MA, USA, June 22, 2010 2010 (0) 2010
    Show item 1 to 100 of 244  

    Your query returned 244 matches in the database.