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Regression analysis / Econometrics / Data management / Parametric statistics / Association rule learning / Apriori algorithm / Intelligence quotient / Statistical power / Sampling / Statistics / Information / Data mining


NISS Classification of Partially Observed Data with Association Trees Michael Last, Sandro Fouche, Alan F. Karr, Alex Orso, Adam Porter and Stan Young
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Document Date: 2006-11-29 11:22:20

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City

Triangle Park / /

Company

Pearson / /

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Event

Product Issues / /

Facility

Computer Sciecne University of Maryland College Park / National Institute of Statistical Sciences / College of Computing Georgia Institute / Computer Science University of Maryland College Park / /

IndustryTerm

prediction algorithms / data-mining algorithm / /

Organization

Computing Georgia Institute of Technology Atlanta / University of Maryland College Park / National Institute of Statistical Sciences / /

Person

Alex Orso / Sandro Fouche / Box / Alan F. Karr / Adam Porter / Stan Young / /

Position

Editor / Porter / /

Product

versions / /

ProgrammingLanguage

Java / R / /

ProvinceOrState

North Carolina / /

Technology

Adam / RAM / FIRM algorithm / basic Association Trees algorithm / 3.2 The Apriori Algorithm The Apriori algorithm / Java / proposed Association Trees Algorithm / data-mining algorithm / Apriori algorithm / prediction algorithms / /

URL

www.niss.org / http /

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