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Hypothesis 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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Document Date: 2014-05-08 10:23:26

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File Size: 764,40 KB

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City

Snowbird / Sampling / /

Company

SampleClean / Microsoft / /

Country

United States / /

Currency

USD / /

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Facility

WHERE pub / Brown University / Tel Aviv University / /

IndustryTerm

query processing / domain-specific software / approximate query processing / data-cleaning tools / faceted search / Online Aggr / /

MarketIndex

set 10 / /

Organization

Brown University / MIT / UC Berkeley / Tel Aviv University / Intel Berkeley Research Lab. / /

Person

Rakesh Agarwal Jeffrey Ullman / Sanjay Krishnan / Michael J. Franklin / Jeffery Ullman / Jeffery Ullman Michael Franklin Dirty / Rakesh Agarwal Jeffery Ullman Michael / Rakesh Agarwal / Ken Goldberg / Jeffrey Ullman / Tova Milo / Tim Kraska / /

Position

author / crowd worker / /

Product

RawSC / Franklin / OpenRefine / /

ProvinceOrState

Utah / /

Technology

OCR / optical character recognition / simulation / digitized using optical character recognition / /

URL

http /

SocialTag