Back to Results
First PageMeta Content
Military science / Economic model / Data mining / Global Positioning System / Principal component analysis / Perceptron / Technology / Data analysis / Statistics


Far Out: Predicting Long-Term Human Mobility Adam Sadilek∗ John Krumm Department of Computer Science
Add to Reading List

Document Date: 2012-04-03 10:41:15


Open Document

File Size: 976,21 KB

Share Result on Facebook

City

Las Vegas / Greville / Seattle / /

Company

Myers S. A. / Cambridge Univ Press / Fr Sa / Microsoft / /

Country

Israel / /

Currency

USD / /

/

Facility

Computer Science University of Rochester Rochester / /

Holiday

national holiday / Thanksgiving / Christmas / /

IndustryTerm

electricity / transportation / pervasive systems / ubiquitous computing / online behavior / online social networks / data mining / Web Search / leastsquares solution / prediction algorithms / computing / approximate solutions / visualization tool / search results / wireless networks / location-based social networks / energy / /

Organization

Royal Statistical Society / Computer Science University of Rochester Rochester / Artificial Copyright Intelligence / Long-Term Human Mobility Adam Sadilek∗ John Krumm Department / Cambridge Philosophical Society / Association for the Advancement / /

Person

Lon Lat Lon Lat Eigenday / Lon Lon Sun / Ashish Kapoor / Lon Lat / Lon Lat Lon Lat / /

/

Position

Bishop / hybrid prediction model for moving objects / mobility model for human walks / /

ProvinceOrState

Alaska / New York / /

PublishedMedium

Journal of the Royal Statistical Society / /

Technology

Adam / artificial intelligence / peer-to-peer / GPS / Data Mining / prediction algorithms / /

URL

www.aaai.org / /

SocialTag