Michael J. Franklin

Publication Activity (10 Years)

Years Active: 1990-2024
Publications (10 Years): 69

Top Venues

CoRR

Proc. VLDB Endow.

SIGMOD Conference

ICDE

Univ. of Wisconsin-Madison (PHD)

Education History

Univ. of Wisconsin-Madison

PHD

Publications

Rui Liu, Jun Hyuk Chang, Riki Otaki, Zhe Heng Eng, Aaron J. Elmore, Michael J. Franklin, Sanjay Krishnan
Towards Resource-adaptive Query Execution in Cloud Native Databases. CIDR (2024)
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 (2024)
Rui Liu, Aaron J. Elmore, Michael J. Franklin, Sanjay Krishnan
Riveter: Adaptive Query Suspension and Resumption Framework for Cloud Native Databases. ICDE (2024)
Siyuan Xia, Zhiru Zhu, Chris Zhu, Jinjin Zhao, Kyle Chard, Aaron J. Elmore, Ian T. Foster, Michael J. Franklin, Sanjay Krishnan, Raul Castro Fernandez
Data Station: Delegated, Trustworthy, and Auditable Computation to Enable Data-Sharing Consortia with a Data Escrow. CoRR (2023)
John Paparrizos, Chunwei Liu, Aaron J. Elmore, Michael J. Franklin
Querying Time-Series Data: A Comprehensive Comparison of Distance Measures. IEEE Data Eng. Bull. 46 (3) (2023)
Alon Y. Halevy, Yejin Choi, Avrilia Floratou, Michael J. Franklin, Natasha F. Noy, Haixun Wang
Will LLMs reshape, supercharge, or kill data science? Proc. VLDB Endow. 16 (12) (2023)
Raul Castro Fernandez, Aaron J. Elmore, Michael J. Franklin, Sanjay Krishnan, Chenhao Tan
How Large Language Models Will Disrupt Data Management. Proc. VLDB Endow. 16 (11) (2023)
John Paparrizos, Kaize Wu, Aaron J. Elmore, Christos Faloutsos, Michael J. Franklin
Accelerating Similarity Search for Elastic Measures: A Study and New Generalization of Lower Bounding Distances. Proc. VLDB Endow. 16 (8) (2023)
Rui Liu, Aaron J. Elmore, Michael J. Franklin, Sanjay Krishnan
Rotary: A Resource Arbitration Framework for Progressive Iterative Analytics. ICDE (2023)
John Paparrizos, Paul Boniol, Themis Palpanas, Ruey Tsay, Aaron J. Elmore, Michael J. Franklin
Volume Under the Surface: A New Accuracy Evaluation Measure for Time-Series Anomaly Detection. Proc. VLDB Endow. 15 (11) (2022)
Paul Boniol, John Paparrizos, Yuhao Kang, Themis Palpanas, Ruey S. Tsay, Aaron J. Elmore, Michael J. Franklin
Theseus: Navigating the Labyrinth of Time-Series Anomaly Detection. Proc. VLDB Endow. 15 (12) (2022)
Siyuan Xia, Zhiru Zhu, Christopher Zhu, Jinjin Zhao, Kyle Chard, Aaron J. Elmore, Ian T. Foster, Michael J. Franklin, Sanjay Krishnan, Raul Castro Fernandez
Data Station: Delegated, Trustworthy, and Auditable Computation to Enable Data-Sharing Consortia with a Data Escrow. Proc. VLDB Endow. 15 (11) (2022)
John Paparrizos, Ikraduya Edian, Chunwei Liu, Aaron J. Elmore, Michael J. Franklin
Fast Adaptive Similarity Search through Variance-Aware Quantization. ICDE (2022)
John Paparrizos, Yuhao Kang, Paul Boniol, Ruey S. Tsay, Themis Palpanas, Michael J. Franklin
TSB-UAD: An End-to-End Benchmark Suite for Univariate Time-Series Anomaly Detection. Proc. VLDB Endow. 15 (8) (2022)
Daniel Abadi, Anastasia Ailamaki, David G. Andersen, Peter Bailis, Magdalena Balazinska, Philip A. Bernstein, Peter A. Boncz, Surajit Chaudhuri, Alvin Cheung, AnHai Doan, Luna Dong, Michael J. Franklin, Juliana Freire, Alon Y. Halevy, Joseph M. Hellerstein, Stratos Idreos, Donald Kossmann, Tim Kraska, Sailesh Krishnamurthy, Volker Markl, Sergey Melnik, Tova Milo, C. Mohan, Thomas Neumann, Beng Chin Ooi, Fatma Ozcan, Jignesh M. Patel, Andrew Pavlo, Raluca A. Popa, Raghu Ramakrishnan, Christopher Ré, Michael Stonebraker, Dan Suciu
The Seattle report on database research. Commun. ACM 65 (8) (2022)
John Paparrizos, Chunwei Liu, Bruno Barbarioli, Johnny Hwang, Ikraduya Edian, Aaron J. Elmore, Michael J. Franklin, Sanjay Krishnan
VergeDB: A Database for IoT Analytics on Edge Devices. CIDR (2021)
Rui Liu, Sanjay Krishnan, Aaron J. Elmore, Michael J. Franklin
Understanding and optimizing packed neural network training for hyper-parameter tuning. DEEM@SIGMOD (2021)
Paul Boniol, John Paparrizos, Themis Palpanas, Michael J. Franklin
SAND in Action: Subsequence Anomaly Detection for Streams. Proc. VLDB Endow. 14 (12) (2021)
Paul Boniol, John Paparrizos, Themis Palpanas, Michael J. Franklin
SAND: Streaming Subsequence Anomaly Detection. Proc. VLDB Endow. 14 (10) (2021)
Zhuozhao Li, Ryan Chard, Logan T. Ward, Kyle Chard, Tyler J. Skluzacek, Yadu N. Babuji, Anna Woodard, Steven Tuecke, Ben Blaiszik, Michael J. Franklin, Ian T. Foster
DLHub: Simplifying publication, discovery, and use of machine learning models in science. J. Parallel Distributed Comput. 147 (2021)
Rui Liu, Sanjay Krishnan, Aaron J. Elmore, Michael J. Franklin
Understanding and Optimizing Packed Neural Network Training for Hyper-Parameter Tuning. CoRR (2020)
Raul Castro Fernandez, Kyle Chard, Ben Blaiszik, Sanjay Krishnan, Aaron J. Elmore, Ziad Obermeyer, Josh Risley, Sendhil Mullainathan, Michael J. Franklin, Ian T. Foster
The Data Station: Combining Data, Compute, and Market Forces. CoRR (2020)
Zechao Shang, Xi Liang, Dixin Tang, Cong Ding, Aaron J. Elmore, Sanjay Krishnan, Michael J. Franklin
CrocodileDB: Efficient Database Execution through Intelligent Deferment. CIDR (2020)
Xi Liang, Zechao Shang, Sanjay Krishnan, Aaron J. Elmore, Michael J. Franklin
Fast and Reliable Missing Data Contingency Analysis with Predicate-Constraints. SIGMOD Conference (2020)
Raul Castro Fernandez, Pranav Subramaniam, Michael J. Franklin
Data Market Platforms: Trading Data Assets to Solve Data Problems [Vision Paper]. CoRR (2020)
Raul Castro Fernandez, Pranav Subramaniam, Michael J. Franklin
Data Market Platforms: Trading Data Assets to Solve Data Problems. Proc. VLDB Endow. 13 (11) (2020)
Dixin Tang, Zechao Shang, Aaron J. Elmore, Sanjay Krishnan, Michael J. Franklin
Thrifty Query Execution via Incrementability. SIGMOD Conference (2020)
John Paparrizos, Chunwei Liu, Aaron J. Elmore, Michael J. Franklin
Debunking Four Long-Standing Misconceptions of Time-Series Distance Measures. SIGMOD Conference (2020)
Xi Liang, Zechao Shang, Aaron J. Elmore, Sanjay Krishnan, Michael J. Franklin
Fast and Reliable Missing Data Contingency Analysis with Predicate-Constraints. CoRR (2020)
Dixin Tang, Zechao Shang, Aaron J. Elmore, Sanjay Krishnan, Michael J. Franklin
CrocodileDB in Action: Resource-Efficient Query Execution by Exploiting Time Slackness. Proc. VLDB Endow. 13 (12) (2020)
Zhao Zhang, Kyle Barbary, Frank Austin Nothaft, Evan R. Sparks, Oliver Zahn, Michael J. Franklin, David A. Patterson, Saul Perlmutter
Kira: Processing Astronomy Imagery Using Big Data Technology. IEEE Trans. Big Data 6 (2) (2020)
Sanjay Krishnan, Aaron J. Elmore, Michael J. Franklin, John Paparrizos, Zechao Shang, Adam Dziedzic, Rui Liu
Artificial Intelligence in Resource-Constrained and Shared Environments. ACM SIGOPS Oper. Syst. Rev. 53 (1) (2019)
Ryan Chard, Zhuozhao Li, Kyle Chard, Logan T. Ward, Yadu N. Babuji, Anna Woodard, Steven Tuecke, Ben Blaiszik, Michael J. Franklin, Ian T. Foster
DLHub: Model and Data Serving for Science. IPDPS (2019)
John Paparrizos, Michael J. Franklin
GRAIL: Efficient Time-Series Representation Learning. Proc. VLDB Endow. 12 (11) (2019)
Daniel Abadi, Anastasia Ailamaki, David G. Andersen, Peter Bailis, Magdalena Balazinska, Philip A. Bernstein, Peter A. Boncz, Surajit Chaudhuri, Alvin Cheung, AnHai Doan, Luna Dong, Michael J. Franklin, Juliana Freire, Alon Y. Halevy, Joseph M. Hellerstein, Stratos Idreos, Donald Kossmann, Tim Kraska, Sailesh Krishnamurthy, Volker Markl, Sergey Melnik, Tova Milo, C. Mohan, Thomas Neumann, Beng Chin Ooi, Fatma Ozcan, Jignesh M. Patel, Andrew Pavlo, Raluca A. Popa, Raghu Ramakrishnan, Christopher Ré, Michael Stonebraker, Dan Suciu
The Seattle Report on Database Research. SIGMOD Rec. 48 (4) (2019)
Adam Dziedzic, John Paparrizos, Sanjay Krishnan, Aaron J. Elmore, Michael J. Franklin
Band-limited Training and Inference for Convolutional Neural Networks. ICML (2019)
Adam Dziedzic, John Paparrizos, Sanjay Krishnan, Aaron J. Elmore, Michael J. Franklin
Band-limited Training and Inference for Convolutional Neural Networks. CoRR (2019)
Dixin Tang, Zechao Shang, Aaron J. Elmore, Sanjay Krishnan, Michael J. Franklin
Intermittent Query Processing. Proc. VLDB Endow. 12 (11) (2019)
Francine Berman, Rob A. Rutenbar, Brent Hailpern, Henrik Christensen, Susan Davidson, Deborah Estrin, Michael J. Franklin, Margaret Martonosi, Padma Raghavan, Victoria Stodden, Alexander S. Szalay
Realizing the potential of data science. Commun. ACM 61 (4) (2018)
Gylfi Þór Gudmundsson, Björn Þór Jónsson, Laurent Amsaleg, Michael J. Franklin
Prototyping a Web-Scale Multimedia Retrieval Service Using Spark. ACM Trans. Multim. Comput. Commun. Appl. 14 (3s) (2018)
Zechao Shang, Will Brackenbury, Aaron J. Elmore, Michael J. Franklin
CYADB: A Database that Covers Your Ask. Proc. VLDB Endow. 11 (12) (2018)
Ryan Chard, Zhuozhao Li, Kyle Chard, Logan T. Ward, Yadu N. Babuji, Anna Woodard, Steven Tuecke, Ben Blaiszik, Michael J. Franklin, Ian T. Foster
DLHub: Model and Data Serving for Science. CoRR (2018)
Will Brackenbury, Rui Liu, Mainack Mondal, Aaron J. Elmore, Blase Ur, Kyle Chard, Michael J. Franklin
Draining the Data Swamp: A Similarity-based Approach. HILDA@SIGMOD (2018)
Daniel Crankshaw, Xin Wang, Giulio Zhou, Michael J. Franklin, Joseph E. Gonzalez, Ion Stoica
Clipper: A Low-Latency Online Prediction Serving System. NSDI (2017)
Gylfi Þór Guðmundsson, Laurent Amsaleg, Björn Þór Jónsson, Michael J. Franklin
Towards Engineering a Web-Scale Multimedia Service: A Case Study Using Spark. MMSys (2017)
Daniel Haas, Michael J. Franklin
Cioppino: Multi-Tenant Crowd Management. HCOMP (2017)
Bill Howe, Michael J. Franklin, Laura M. Haas, Tim Kraska, Jeffrey D. Ullman
Data Science Education: We're Missing the Boat, Again. ICDE (2017)
Evan R. Sparks, Shivaram Venkataraman, Tomer Kaftan, Michael J. Franklin, Benjamin Recht
KeystoneML: Optimizing Pipelines for Large-Scale Advanced Analytics. ICDE (2017)
Zhao Zhang, Evan R. Sparks, Michael J. Franklin
Diagnosing Machine Learning Pipelines with Fine-grained Lineage. HPDC (2017)
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. SOSP (2017)
Sanjay Krishnan, Michael J. Franklin, Ken Goldberg, Eugene Wu
BoostClean: Automated Error Detection and Repair for Machine Learning. CoRR (2017)
Guoliang Li, Jiannan Wang, Yudian Zheng, Michael J. Franklin
Crowdsourced Data Management: A Survey. ICDE (2017)
Matei Zaharia, Reynold S. 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 59 (11) (2016)
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. SIMPAR (2016)
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 Zadeh, Matei Zaharia, Ameet Talwalkar
MLlib: Machine Learning in Apache Spark. J. Mach. Learn. Res. 17 (2016)
Sanjay Krishnan, Michael J. Franklin, Ken Goldberg, Jiannan Wang, Eugene Wu
ActiveClean: An Interactive Data Cleaning Framework For Modern Machine Learning. SIGMOD Conference (2016)
Shivaram Venkataraman, Zongheng Yang, Michael J. Franklin, Benjamin Recht, Ion Stoica
Ernest: Efficient Performance Prediction for Large-Scale Advanced Analytics. NSDI (2016)
Sanjay Krishnan, Jiannan Wang, Michael J. Franklin, Ken Goldberg, Tim Kraska
PrivateClean: Data Cleaning and Differential Privacy. SIGMOD Conference (2016)
Francois W. Belletti, Evan R. Sparks, Michael J. Franklin, Alexandre M. Bayen, Joseph E. Gonzalez
Scalable Linear Causal Inference for Irregularly Sampled Time Series with Long Range Dependencies. CoRR (2016)
Guoliang Li, Jiannan Wang, Yudian Zheng, Michael J. Franklin
Crowdsourced Data Management: A Survey. IEEE Trans. Knowl. Data Eng. 28 (9) (2016)
Beth Trushkowsky, Tim Kraska, Michael J. Franklin, Purnamrita Sarkar
Answering enumeration queries with the crowd. Commun. ACM 59 (1) (2016)
Sanjay Krishnan, Jiannan Wang, Eugene Wu, Michael J. Franklin, Ken Goldberg
ActiveClean: Interactive Data Cleaning While Learning Convex Loss Models. CoRR (2016)
Sanjay Krishnan, Jiannan Wang, Eugene Wu, Michael J. Franklin, Ken Goldberg
ActiveClean: Interactive Data Cleaning For Statistical Modeling. Proc. VLDB Endow. 9 (12) (2016)
Daniel Crankshaw, Xin Wang, Giulio Zhou, Michael J. Franklin, Joseph E. Gonzalez, Ion Stoica
Clipper: A Low-Latency Online Prediction Serving System. CoRR (2016)
Evan R. Sparks, Shivaram Venkataraman, Tomer Kaftan, Michael J. Franklin, Benjamin Recht
KeystoneML: Optimizing Pipelines for Large-Scale Advanced Analytics. CoRR (2016)
Shivaram Venkataraman, Zongheng Yang, Davies Liu, Eric Liang, Hossein Falaki, Xiangrui Meng, Reynold Xin, Ali Ghodsi, Michael J. Franklin, Ion Stoica, Matei Zaharia
SparkR: Scaling R Programs with Spark. SIGMOD Conference (2016)
Daniel 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 59 (2) (2016)
Liwen Sun, Michael J. Franklin, Jiannan Wang, Eugene Wu
Skipping-oriented Partitioning for Columnar Layouts. Proc. VLDB Endow. 10 (4) (2016)
Sanjay Krishnan, Daniel Haas, Michael J. Franklin, Eugene Wu
Towards reliable interactive data cleaning: a user survey and recommendations. HILDA@SIGMOD (2016)
Alan D. Fekete, Judy Kay, Michael J. Franklin, Debjanee Barua, Bob Kummerfeld
Managing information for personal goals (vision). ICDE Workshops (2015)
Andrei Z. Broder, Lada A. Adamic, Michael J. Franklin, Maarten de Rijke, Eric P. Xing, Kai Yu
Big Data: New Paradigm or "Sound and Fury, Signifying Nothing"? WSDM (2015)
Peter Bailis, Alan D. Fekete, Michael J. Franklin, Ali Ghodsi, Joseph M. Hellerstein, Ion Stoica
Feral Concurrency Control: An Empirical Investigation of Modern Application Integrity. SIGMOD Conference (2015)
Zhao Zhang, Kyle Barbary, Frank Austin Nothaft, Evan R. Sparks, Oliver Zahn, Michael J. Franklin, David A. Patterson, Saul Perlmutter
Scientific computing meets big data technology: An astronomy use case. IEEE BigData (2015)
Joseph E. 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)
Daniel Crankshaw, Peter Bailis, Joseph E. 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)
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. 38 (4) (2015)
Zhao Zhang, Kyle Barbary, Frank Austin 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)
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 Zadeh, Matei Zaharia, Ameet Talwalkar
MLlib: Machine Learning in Apache Spark. CoRR (2015)
Evan R. Sparks, Ameet Talwalkar, Daniel Haas, Michael J. Franklin, Michael I. Jordan, Tim Kraska
Automating model search for large scale machine learning. SoCC (2015)
Francois Belletti, Evan R. Sparks, Michael J. Franklin, Alexandre M. Bayen
Embarrassingly Parallel Time Series Analysis for Large Scale Weak Memory Systems. CoRR (2015)
Sanjay Krishnan, Jiannan Wang, Michael J. Franklin, Ken Goldberg, Tim Kraska
Stale View Cleaning: Getting Fresh Answers from Stale Materialized Views. Proc. VLDB Endow. 8 (12) (2015)
Daniel Haas, Sanjay Krishnan, Jiannan Wang, Michael J. Franklin, Eugene Wu
Wisteria: Nurturing Scalable Data Cleaning Infrastructure. Proc. VLDB Endow. 8 (12) (2015)
Sanjay Krishnan, Jiannan Wang, Michael J. Franklin, Ken Goldberg, Tim Kraska
Stale View Cleaning: Getting Fresh Answers from Stale Materialized Views. CoRR (2015)
Michael J. Franklin
Making Sense of Big Data with the Berkeley Data Analytics Stack. WSDM (2015)
Beth Trushkowsky, Tim Kraska, Michael J. Franklin, Purnamrita Sarkar, Venketaram Ramachandran
Crowdsourcing Enumeration Queries: Estimators and Interfaces. IEEE Trans. Knowl. Data Eng. 27 (7) (2015)
Daniel Haas, Jiannan Wang, Eugene Wu, Michael J. Franklin
CLAMShell: Speeding up Crowds for Low-latency Data Labeling. Proc. VLDB Endow. 9 (4) (2015)
Michael Armbrust, Reynold S. 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. SIGMOD Conference (2015)
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)
Sanjay Krishnan, Jiannan Wang, Michael J. Franklin, Ken Goldberg, Tim Kraska, Tova Milo, Eugene Wu
SampleClean: Fast and Reliable Analytics on Dirty Data. IEEE Data Eng. Bull. 38 (3) (2015)
Frank Austin Nothaft, Matt Massie, Timothy Danford, Zhao Zhang, Uri Laserson, Carl Yeksigian, Jey Kottalam, Arun Ahuja, Jeff Hammerbacher, Michael D. Linderman, Michael J. Franklin, Anthony D. Joseph, David A. Patterson
Rethinking Data-Intensive Science Using Scalable Analytics Systems. SIGMOD Conference (2015)
Daniel Haas, Jiannan Wang, Eugene Wu, Michael J. Franklin
CLAMShell: Speeding up Crowds for Low-latency Data Labeling. CoRR (2015)
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 Rec. 43 (3) (2014)
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. Proc. VLDB Endow. 8 (2) (2014)
Liwen Sun, Sanjay Krishnan, Reynold S. Xin, Michael J. Franklin
A Partitioning Framework for Aggressive Data Skipping. Proc. VLDB Endow. 7 (13) (2014)
Joseph E. Gonzalez, Reynold S. Xin, Ankur Dave, Daniel Crankshaw, Michael J. Franklin, Ion Stoica
GraphX: Graph Processing in a Distributed Dataflow Framework. OSDI (2014)
Peter Bailis, Shivaram Venkataraman, Michael J. Franklin, Joseph M. Hellerstein, Ion Stoica
Quantifying eventual consistency with PBS. Commun. ACM 57 (8) (2014)
Jiannan Wang, Sanjay Krishnan, Michael J. Franklin, Ken Goldberg, Tim Kraska, Tova Milo
A sample-and-clean framework for fast and accurate query processing on dirty data. SIGMOD Conference (2014)
Shivaram Venkataraman, Aurojit Panda, Ganesh Ananthanarayanan, Michael J. Franklin, Ion Stoica
The Power of Choice in Data-Aware Cluster Scheduling. OSDI (2014)
Peter Bailis, Alan D. Fekete, Michael J. Franklin, Ali Ghodsi, Joseph M. Hellerstein, Ion Stoica
Coordination-Avoiding Database Systems. CoRR (2014)
Daniel Crankshaw, Peter Bailis, Joseph E. 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)

Michael J. Franklin.css-eqlu8i{font-size:small;padding-left:4px;}

Publication Activity (10 Years)

Top Topics

Top Venues

Michael J. Franklin