Michael J. Franklin

Results: 100



#Item
51University of California /  Berkeley / United States / Year of birth missing / Michael J. Franklin / California / SIGMOD

Big Data and Data Science: Some Hype but Real Opportunities VSoE Informatics & IMSC Seminar – Host: Cyrus Shahabi April 2 ­ 5:00­6:00pm  SAL­101 Speaker:  Michael Franklin, UC Berkeley Com

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Source URL: imsc.usc.edu

Language: English - Date: 2015-03-16 19:55:33
52Randomized algorithm / Mathematics / Algorithm / Crowdsourcing / Computer science / Applied mathematics / Analysis of algorithms / Probabilistic complexity theory

The Expected Optimal Labeling Order Problem for Crowdsourced Joins and Entity Resolution Jiannan Wang # , Guoliang Li # , Tim Kraska † , Michael J. Franklin ‡ , Jianhua Feng # # Department of Computer Science, Tsing

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Source URL: www.cs.berkeley.edu

Language: English - Date: 2014-09-28 21:49:52
53Data / SQL / Query languages / Relational database management systems / Null / Select / Query optimizer / User-defined function / Object-relational database / Data management / Computing / Database management systems

Spark SQL: Relational Data Processing in Spark Michael Armbrust† , Reynold S. Xin† , Cheng Lian† , Yin Huai† , Davies Liu† , Joseph K. Bradley† , Xiangrui Meng† , Tomer Kaftan‡ , Michael J. Franklin†‡

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Source URL: people.csail.mit.edu

Language: English - Date: 2015-04-09 18:14:31
54Data / Database management systems / Concurrency control / Fault-tolerant computer systems / Quorum / Data synchronization / Eventual consistency / Replication / Consistency model / Data management / Transaction processing / Computing

Probabilistically Bounded Staleness for Practical Partial Quorums Peter Bailis, Shivaram Venkataraman, Michael J. Franklin, Joseph M. Hellerstein, Ion Stoica University of California, Berkeley {pbailis, shivaram, frankl

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Source URL: db.cs.berkeley.edu

Language: English - Date: 2012-09-05 00:22:20
55Probability and statistics / Probability / Theoretical computer science / Probability theory / Computational statistics / Markov chain Monte Carlo / Conditional random field / Hidden Markov model / Markov chain / Markov models / Statistics / Graphical models

Hybrid In-Database Inference for Declarative Information Extraction Daisy Zhe Wang Michael J. Franklin

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Source URL: www.cise.ufl.edu

Language: English - Date: 2014-08-27 19:27:29
56Hypothesis testing / Statistical theory / Psychometrics / Confidence interval / Statistical power / Sampling / Sample size determination / Errors and residuals in statistics / Statistical hypothesis testing / Statistics / Statistical inference / Measurement

A Sample-and-Clean Framework for Fast and Accurate Query Processing on Dirty Data Jiannan Wang, Sanjay Krishnan, Michael J. Franklin, Ken Goldberg, Tim Kraska † , Tova Milo # UC Berkeley, †

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Source URL: www.cs.berkeley.edu

Language: English - Date: 2014-05-06 17:37:40
57Parallel computing / Cloud infrastructure / Hadoop / Distributed computing architecture / MapReduce / Apache Hadoop / Apache Hive / Pig / Computer cluster / Computing / Concurrent computing / Cloud computing

Spark: Cluster Computing with Working Sets Matei Zaharia, Mosharaf Chowdhury, Michael J. Franklin, Scott Shenker, Ion Stoica University of California, Berkeley Abstract MapReduce/Dryad job, each job must reload the data

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Source URL: static.usenix.org

Language: English - Date: 2010-05-27 09:25:48
58SQL keywords / Database theory / SQL / View / Bootstrapping / Sampling / Aggregate / Materialized view / Relational algebra / Data management / Database management systems / Relational model

Stale View Cleaning: Getting Fresh Answers from Stale Materialized Views Sanjay Krishnan, Jiannan Wang, Michael J. Franklin, Ken Goldberg, Tim Kraska † UC Berkeley, † Brown University {sanjaykrishnan, jnwang, frankli

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Source URL: www.ocf.berkeley.edu

Language: English - Date: 2015-01-05 17:37:33
59Data management / Database management systems / Cloud infrastructure / Hadoop / Database theory / Apache Hadoop / MapReduce / Apache Hive / Pig / Computing / Concurrent computing / Cloud computing

Shark: SQL and Rich Analytics at Scale Reynold S. Xin, Josh Rosen, Matei Zaharia, Michael J. Franklin, Scott Shenker, Ion Stoica AMPLab, EECS, UC Berkeley {rxin, joshrosen, matei, franklin, shenker, istoica}@cs.berkeley

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Source URL: amplab.cs.berkeley.edu

Language: English - Date: 2013-04-17 00:55:49
60Cloud infrastructure / Cloud computing / Apache Hadoop / Hadoop / MapReduce / HBase / PageRank / Computer cluster / Partition editor / Computing / Concurrent computing / Parallel computing

Resilient Distributed Datasets: A Fault-Tolerant Abstraction for In-Memory Cluster Computing Matei Zaharia, Mosharaf Chowdhury, Tathagata Das, Ankur Dave, Justin Ma, Murphy McCauley, Michael J. Franklin, Scott Shenker, I

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Source URL: www.usenix.org

Language: English - Date: 2015-04-18 22:46:11
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