default search action
Google
Google Scholar
Semantic Scholar
Internet Archive Scholar
CiteSeerX
ORCIDMichael J. Franklin
Mike Franklin
Person information
- affiliation: University of Chicago
- affiliation: University of California, Berkeley, USA
Refine list
refinements active!
zoomed in on ?? of ?? records
view refined list in
export refined list as
showing all ?? records
2020 – today
- 2024
[j105]Samuel Madden, Michael J. Cafarella, Michael J. Franklin, Tim Kraska:
Databases Unbound: Querying All of the World's Bytes with AI. Proc. VLDB Endow. 17(12): 4546-4554 (2024)- [c162]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 - [c161]Rui Liu, Aaron J. Elmore, Michael J. Franklin, Sanjay Krishnan:
Riveter: Adaptive Query Suspension and Resumption Framework for Cloud Native Databases. ICDE 2024: 3975-3988 - [i35]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 abs/2405.14696 (2024) - 2023
- [j104]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): 69-88 (2023) - [j103]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): 2019-2032 (2023) - [j102]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): 3302-3309 (2023) - [j101]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): 4114-4115 (2023) - [c160]Rui Liu, Aaron J. Elmore, Michael J. Franklin, Sanjay Krishnan:
Rotary: A Resource Arbitration Framework for Progressive Iterative Analytics. ICDE 2023: 2140-2153 - [i34]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 abs/2305.03842 (2023) - 2022
- [j100]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): 72-79 (2022) - [j99]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): 1697-1711 (2022) - [j98]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): 2774-2787 (2022) - [j97]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. Proc. VLDB Endow. 15(11): 3172-3185 (2022) - [j96]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): 3702-3705 (2022) - [c159]John Paparrizos, Ikraduya Edian, Chunwei Liu, Aaron J. Elmore, Michael J. Franklin:
Fast Adaptive Similarity Search through Variance-Aware Quantization. ICDE 2022: 2969-2983 - 2021
- [j95]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: 64-76 (2021) - [j94]Paul Boniol, John Paparrizos, Themis Palpanas, Michael J. Franklin:
SAND: Streaming Subsequence Anomaly Detection. Proc. VLDB Endow. 14(10): 1717-1729 (2021) - [j93]Paul Boniol, John Paparrizos, Themis Palpanas, Michael J. Franklin:
SAND in Action: Subsequence Anomaly Detection for Streams. Proc. VLDB Endow. 14(12): 2867-2870 (2021) - [c158]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 - [c157]Rui Liu, Sanjay Krishnan, Aaron J. Elmore, Michael J. Franklin:
Understanding and optimizing packed neural network training for hyper-parameter tuning. DEEM@SIGMOD 2021: 3:1-3:11 - 2020
- [j92]Raul Castro Fernandez, Pranav Subramaniam, Michael J. Franklin:
Data Market Platforms: Trading Data Assets to Solve Data Problems. Proc. VLDB Endow. 13(11): 1933-1947 (2020) - [j91]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): 2937-2940 (2020) - [j90]Zhao Zhang, Kyle Barbary, Frank Austin Nothaft, Evan Randall 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): 369-381 (2020) - [c156]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 - [c155]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: 285-295 - [c154]Dixin Tang, Zechao Shang, Aaron J. Elmore, Sanjay Krishnan, Michael J. Franklin:
Thrifty Query Execution via Incrementability. SIGMOD Conference 2020: 1241-1256 - [c153]John Paparrizos, Chunwei Liu, Aaron J. Elmore, Michael J. Franklin:
Debunking Four Long-Standing Misconceptions of Time-Series Distance Measures. SIGMOD Conference 2020: 1887-1905 - [i33]Raul Castro Fernandez, Pranav Subramaniam, Michael J. Franklin:
Data Market Platforms: Trading Data Assets to Solve Data Problems [Vision Paper]. CoRR abs/2002.01047 (2020) - [i32]Rui Liu, Sanjay Krishnan, Aaron J. Elmore, Michael J. Franklin:
Understanding and Optimizing Packed Neural Network Training for Hyper-Parameter Tuning. CoRR abs/2002.02885 (2020) - [i31]Xi Liang, Zechao Shang, Aaron J. Elmore, Sanjay Krishnan, Michael J. Franklin:
Fast and Reliable Missing Data Contingency Analysis with Predicate-Constraints. CoRR abs/2004.04139 (2020) - [i30]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 abs/2009.00035 (2020)
2010 – 2019
- 2019
- [j89]Dixin Tang, Zechao Shang, Aaron J. Elmore, Sanjay Krishnan, Michael J. Franklin:
Intermittent Query Processing. Proc. VLDB Endow. 12(11): 1427-1441 (2019) - [j88]John Paparrizos, Michael J. Franklin:
GRAIL: Efficient Time-Series Representation Learning. Proc. VLDB Endow. 12(11): 1762-1777 (2019) - [j87]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): 44-53 (2019) - [j86]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): 1-6 (2019) - [c152]Adam Dziedzic, John Paparrizos, Sanjay Krishnan, Aaron J. Elmore, Michael J. Franklin:
Band-limited Training and Inference for Convolutional Neural Networks. ICML 2019: 1745-1754 - [c151]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: 283-292 - [i29]Adam Dziedzic, John Paparrizos, Sanjay Krishnan, Aaron J. Elmore, Michael J. Franklin:
Band-limited Training and Inference for Convolutional Neural Networks. CoRR abs/1911.09287 (2019) - 2018
- [j85]Francine Berman, Rob A. Rutenbar, Brent Hailpern, Henrik I. Christensen, Susan B. 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): 67-72 (2018) - [j84]Zechao Shang, Will Brackenbury, Aaron J. Elmore, Michael J. Franklin:
CYADB: A Database that Covers Your Ask. Proc. VLDB Endow. 11(12): 2038-2041 (2018) - [j83]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): 65:1-65:24 (2018) - [c150]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: 13:1-13:7 - [r5]Yanlei Diao, Michael J. Franklin:
Publish/Subscribe Over Streams. Encyclopedia of Database Systems (2nd ed.) 2018 - [r4]Yanlei Diao, Michael J. Franklin:
XML Publish/Subscribe. Encyclopedia of Database Systems (2nd ed.) 2018 - [i28]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 abs/1811.11213 (2018) - 2017
- [c149]Mike Franklin:
Mike Franklin Spits Fire. CIDR 2017 - [c148]Daniel Haas, Michael J. Franklin:
Cioppino: Multi-Tenant Crowd Management. HCOMP 2017: 41-50 - [c147]Zhao Zhang, Evan Randall Sparks, Michael J. Franklin:
Diagnosing Machine Learning Pipelines with Fine-grained Lineage. HPDC 2017: 143-153 - [c146]Guoliang Li, Jiannan Wang, Yudian Zheng, Michael J. Franklin:
Crowdsourced Data Management: A Survey. ICDE 2017: 39-40 - [c145]Evan Randall Sparks, Shivaram Venkataraman, Tomer Kaftan, Michael J. Franklin, Benjamin Recht:
KeystoneML: Optimizing Pipelines for Large-Scale Advanced Analytics. ICDE 2017: 535-546 - [c144]Bill Howe, Michael J. Franklin, Laura M. Haas, Tim Kraska, Jeffrey D. Ullman:
Data Science Education: We're Missing the Boat, Again. ICDE 2017: 1473-1474 - [c143]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: 1-12 - [c142]Daniel Crankshaw, Xin Wang, Giulio Zhou, Michael J. Franklin, Joseph E. Gonzalez, Ion Stoica:
Clipper: A Low-Latency Online Prediction Serving System. NSDI 2017: 613-627 - [c141]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: 374-389 - [i27]Sanjay Krishnan, Michael J. Franklin, Ken Goldberg, Eugene Wu:
BoostClean: Automated Error Detection and Repair for Machine Learning. CoRR abs/1711.01299 (2017) - 2016
- [j82]Beth Trushkowsky, Tim Kraska, Michael J. Franklin, Purnamrita Sarkar:
Answering enumeration queries with the crowd. Commun. ACM 59(1): 118-127 (2016) - [j81]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): 92-99 (2016) - [j80]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): 56-65 (2016) - [j79]Xiangrui Meng, Joseph K. Bradley, Burak Yavuz, Evan Randall 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: 34:1-34:7 (2016) - [j78]Sanjay Krishnan, Jiannan Wang, Eugene Wu, Michael J. Franklin, Ken Goldberg:
ActiveClean: Interactive Data Cleaning For Statistical Modeling. Proc. VLDB Endow. 9(12): 948-959 (2016) - [j77]Liwen Sun, Michael J. Franklin, Jiannan Wang, Eugene Wu:
Skipping-oriented Partitioning for Columnar Layouts. Proc. VLDB Endow. 10(4): 421-432 (2016) - [j76]Guoliang Li, Jiannan Wang, Yudian Zheng, Michael J. Franklin:
Crowdsourced Data Management: A Survey. IEEE Trans. Knowl. Data Eng. 28(9): 2296-2319 (2016) - [c140]Shivaram Venkataraman, Zongheng Yang, Michael J. Franklin, Benjamin Recht, Ion Stoica:
Ernest: Efficient Performance Prediction for Large-Scale Advanced Analytics. NSDI 2016: 363-378 - [c139]Sanjay Krishnan, Daniel Haas, Michael J. Franklin, Eugene Wu:
Towards reliable interactive data cleaning: a user survey and recommendations. HILDA@SIGMOD 2016: 9 - [c138]Sanjay Krishnan, Jiannan Wang, Michael J. Franklin, Ken Goldberg, Tim Kraska:
PrivateClean: Data Cleaning and Differential Privacy. SIGMOD Conference 2016: 937-951 - [c137]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: 1099-1104 - [c136]Sanjay Krishnan, Michael J. Franklin, Ken Goldberg, Jiannan Wang, Eugene Wu:
ActiveClean: An Interactive Data Cleaning Framework For Modern Machine Learning. SIGMOD Conference 2016: 2117-2120 - [c135]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: 216-223 - [p3]Yanlei Diao, Michael J. Franklin:
High-Performance XML Message Brokering. Data Stream Management 2016: 451-471 - [i26]Sanjay Krishnan, Jiannan Wang, Eugene Wu, Michael J. Franklin, Ken Goldberg:
ActiveClean: Interactive Data Cleaning While Learning Convex Loss Models. CoRR abs/1601.03797 (2016) - [i25]Francois W. Belletti, Evan Randall Sparks, Michael J. Franklin, Alexandre M. Bayen, Joseph E. Gonzalez:
Scalable Linear Causal Inference for Irregularly Sampled Time Series with Long Range Dependencies. CoRR abs/1603.03336 (2016) - [i24]Evan Randall Sparks, Shivaram Venkataraman, Tomer Kaftan, Michael J. Franklin, Benjamin Recht:
KeystoneML: Optimizing Pipelines for Large-Scale Advanced Analytics. CoRR abs/1610.09451 (2016) - [i23]Daniel Crankshaw, Xin Wang, Giulio Zhou, Michael J. Franklin, Joseph E. Gonzalez, Ion Stoica:
Clipper: A Low-Latency Online Prediction Serving System. CoRR abs/1612.03079 (2016) - 2015
- [j75]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): 59-75 (2015) - [j74]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): 39-50 (2015) - [j73]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): 1370-1381 (2015) - [j72]Daniel Haas, Sanjay Krishnan, Jiannan Wang, Michael J. Franklin, Eugene Wu:
Wisteria: Nurturing Scalable Data Cleaning Infrastructure. Proc. VLDB Endow. 8(12): 2004-2007 (2015) - [j71]Daniel Haas, Jiannan Wang, Eugene Wu, Michael J. Franklin:
CLAMShell: Speeding up Crowds for Low-latency Data Labeling. Proc. VLDB Endow. 9(4): 372-383 (2015) - [j70]Beth Trushkowsky, Tim Kraska, Michael J. Franklin, Purnamrita Sarkar, Venketaram Ramachandran:
Crowdsourcing Enumeration Queries: Estimators and Interfaces. IEEE Trans. Knowl. Data Eng. 27(7): 1796-1809 (2015) - [c134]Zhao Zhang, Kyle Barbary, Frank Austin Nothaft, Evan Randall Sparks, Oliver Zahn, Michael J. Franklin, David A. Patterson, Saul Perlmutter:
Scientific computing meets big data technology: An astronomy use case. IEEE BigData 2015: 918-927 - [c133]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 - [c132]Evan Randall Sparks, Ameet Talwalkar, Daniel Haas, Michael J. Franklin, Michael I. Jordan, Tim Kraska:
Automating model search for large scale machine learning. SoCC 2015: 368-380 - [c131]Alan D. Fekete, Judy Kay, Michael J. Franklin, Debjanee Barua, Bob Kummerfeld:
Managing information for personal goals (vision). ICDE Workshops 2015: 30-33 - [c130]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: 631-646 - [c129]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: 1327-1342 - [c128]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: 1383-1394 - [c127]Michael J. Franklin:
Making Sense of Big Data with the Berkeley Data Analytics Stack. WSDM 2015: 1-2 - [c126]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: 5-6 - [i22]Evan Randall Sparks, Ameet Talwalkar, Michael J. Franklin, Michael I. Jordan, Tim Kraska:
TuPAQ: An Efficient Planner for Large-scale Predictive Analytic Queries. CoRR abs/1502.00068 (2015) - [i21]Xiangrui Meng, Joseph K. Bradley, Burak Yavuz, Evan Randall 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 abs/1505.06807 (2015) - [i20]Zhao Zhang, Kyle Barbary, Frank Austin Nothaft, Evan Randall Sparks, Oliver Zahn, Michael J. Franklin, David A. Patterson, Saul Perlmutter:
Scientific Computing Meets Big Data Technology: An Astronomy Use Case. CoRR abs/1507.03325 (2015) - [i19]Daniel Haas, Jiannan Wang, Eugene Wu, Michael J. Franklin:
CLAMShell: Speeding up Crowds for Low-latency Data Labeling. CoRR abs/1509.05969 (2015) - [i18]Sanjay Krishnan, Jiannan Wang, Michael J. Franklin, Ken Goldberg, Tim Kraska:
Stale View Cleaning: Getting Fresh Answers from Stale Materialized Views. CoRR abs/1509.07454 (2015) - [i17]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 abs/1510.07092 (2015) - [i16]Francois Belletti, Evan Randall Sparks, Michael J. Franklin, Alexandre M. Bayen:
Embarrassingly Parallel Time Series Analysis for Large Scale Weak Memory Systems. CoRR abs/1511.06493 (2015) - 2014
- [j69]Peter Bailis, Shivaram Venkataraman, Michael J. Franklin, Joseph M. Hellerstein, Ion Stoica:
Quantifying eventual consistency with PBS. Commun. ACM 57(8): 93-102 (2014) - [j68]Liwen Sun, Sanjay Krishnan, Reynold S. Xin, Michael J. Franklin:
A Partitioning Framework for Aggressive Data Skipping. Proc. VLDB Endow. 7(13): 1617-1620 (2014) - [j67]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): 125-136 (2014) - [j66]Peter Bailis, Alan D. Fekete, Michael J. Franklin, Ali Ghodsi, Joseph M. Hellerstein, Ion Stoica:
Coordination Avoidance in Database Systems. Proc. VLDB Endow. 8(3): 185-196 (2014) - [j65]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): 61-70 (2014) - [j64]Peter Bailis, Shivaram Venkataraman, Michael J. Franklin, Joseph M. Hellerstein, Ion Stoica:
Quantifying eventual consistency with PBS. VLDB J. 23(2): 279-302 (2014) - [c125]Jeffrey Mahler, Sanjay Krishnan, Michael Laskey, Siddarth Sen, Adithyavairavan Murali, Ben Kehoe, Sachin Patil, Jiannan Wang, Mike Franklin, Pieter Abbeel, Kenneth Y. Goldberg:
Learning accurate kinematic control of cable-driven surgical robots using data cleaning and Gaussian Process Regression. CASE 2014: 532-539 - [c124]Shivaram Venkataraman, Aurojit Panda, Ganesh Ananthanarayanan, Michael J. Franklin, Ion Stoica:
The Power of Choice in Data-Aware Cluster Scheduling. OSDI 2014: 301-316 - [c123]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: 599-613 - [c122]Sanjay Krishnan, Jay Patel, Michael J. Franklin, Ken Goldberg:
A methodology for learning, analyzing, and mitigating social influence bias in recommender systems. RecSys 2014: 137-144 - [c121]Gene Pang, Tim Kraska, Michael J. Franklin, Alan D. Fekete:
PLANET: making progress with commit processing in unpredictable environments. SIGMOD Conference 2014: 3-14 - [c120]Douglas Burdick, Michael J. Franklin, Paulo Issler, Rajasekar Krishnamurthy, Lucian Popa, Louiqa Raschid, Richard Stanton, Nancy Wallace:
Data Science Challenges in Real Estate Asset and Capital Markets. DSMM 2014: 5:1-5:5 - [c119]