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Statistics / Data analysis / Data mining / Pattern recognition / UPGMA / Association rule learning / Knowledge / Formal sciences / Science / Machine learning


Discovering Spatio-Social Motifs of Electoral Support Using Discriminative Pattern Mining∗ † ‡
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Document Date: 2010-03-02 11:03:10

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File Size: 2,03 MB

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City

Madison / Washington / DC / Houston / San Diego / /

Country

United States / /

Currency

USD / /

/

Facility

O. We mine / University of Massachusetts Boston / Planetary Institute / /

IndustryTerm

data mining / data mining-based methodology / mining / data mining paradigm / pattern mining / /

Organization

Bureau of the Census / University of Massachusetts Boston / Boston / National Aeronautics and Space Administration / Lunar and Planetary Institute / /

Person

Josue Salazar / Barack Obama / Wei Ding / Tomasz F. Stepinski / John McCain / /

PoliticalEvent

presidential election / /

Position

Major / /

ProvinceOrState

Texas / Wisconsin / Midwest / Minnesota / Illinois / California / Iowa / Massachusetts / New England / /

PublishedMedium

Machine Learning / IEEE Transactions on Computers / /

Region

Midwest / New England / /

Technology

remote sensing / data mining / Machine Learning / /

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