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Cluster analysis / Data mining / Geostatistics / Dynamic time warping / Mixture model / Expectation–maximization algorithm / K-means clustering / Lasso / Autoregressive conditional heteroskedasticity / Statistics / Machine learning / Time series analysis


Ups and Downs in Buzzes: Life Cycle Modeling for Temporal Pattern Discovery Yi Chang†, Makoto Yamada†, Antonio Ortega‡, Yan Liu‡ † Yahoo Labs, Sunnyvale, CA 94089 ‡ University of Southern California, Los Ange
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Document Date: 2014-12-08 13:18:22


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City

New York / Sunnyvale / /

Company

Different PLC / John Wiley and Sons Inc / L PLC / Twitter / Google / M PLC / Yahoo Labs / /

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Facility

University of Southern California / /

IndustryTerm

news media / spatiotemporal theme pattern mining / spectral clustering algorithm / social media / stateof-the-art algorithms / social media sites / local optimum solutions / social media content / sparse solution / sparse solutions / centroid algorithm / online media / time-series clustering algorithms / online forums / social networks / social network / dual augmented lagrangian algorithm / social media analysis / online content / given social media / high frequency search queries / online chatter / online groups / peaks algorithm / /

Organization

Royal Statistical Society / National Science Foundation / Harvard / U.S. Government / IIS-1134990 / and U.S. Defense Advanced Research Projects Agency / University of Southern California / Los Angeles / U.S. Defense Advanced Research Projects Agency / /

Person

Buzz Dataset / Michael Phelps / Yan Liu / Tyler Perry / Antonio Ortega / Makoto Yamada / /

Position

RT / timedependent topic model for multiple text streams / General / /

Product

Pentax K-x Digital Camera / iPhone / L1 / /

ProgrammingLanguage

L / K / /

ProvinceOrState

California / /

PublishedMedium

Journal of the Royal Statistical Society / Harvard Business Review / /

Region

Southern California / /

Technology

Alpha / dual augmented lagrangian algorithm / time-series clustering algorithms / K-means algorithm / K-SC algorithm / proposed algorithm / Clustering algorithms / stateof-the-art algorithms / K-MPLC algorithm / spectral clustering algorithm / Data Mining / machine learning / K-spectral centroid algorithm / anytime clustering algorithm / proposed K-MPLC algorithm / 3 peaks algorithm / /

SocialTag