Cambridge University Press / Google / YouTube / Facebook / Accrue Software / Aerospace Electronic Systems / Yahoo! / /
Country
United States / / /
Facility
Social Media Hila Becker Mor Naaman Luis Gravano Columbia University Rutgers University Columbia University / Madison Square Garden / /
IndustryTerm
data mining techniques / weighted cluster ensemble algorithm / user-contributed social media documents / substantial amounts / social media setting / graph partitioning algorithms / media sites / local search / social media documents / Web Conference / social media event data / natural language processing techniques / pass clustering algorithm / incremental clustering algorithm / social media sources / social media analysis / cluster ensemble algorithm / community-contributed media collections / incremental clustering algorithms / social media features / social media / retrospective and on-line event detection / social media sites / social media content / online clustering implementation / network aware search / Web search results / ensemble algorithm / search engines / Web search engines / social media data / Web Search / natural language processing / weighted majority algorithm / ensemble clustering algorithm / ensemble solution / unsupervised-learning clustering algorithm / using incremental clustering algorithms / /
OperatingSystem
Unix / /
Organization
Cambridge University / Columbia University / National Science Foundation / idf / Rutgers University Columbia University / Information Organization / ENSEMBLES Ensemble / /
Person
Erin Antognoli / Luis Gravano / Luis Alonso / Obama / Julia Stoyanovich / Madonna / Selection / Krzysztof Czuba / R. Aggarwal / V / /
Position
editor / Prime Minister / President / fundraiser / author / Model / /
Product
Flickr API / /
ProvinceOrState
New Jersey / Rhode Island / California / /
PublishedMedium
Machine Learning / Journal of Machine Learning Research / /