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RDF / Semantic Web / SPARQL / Named graph / Cluster analysis / Neighbourhood / Consensus clustering / Graph theory / Statistics / Computing


Graph Clustering in SPARQL Kevin Deweese∗ John R. Gilbert∗ Adam Lugowski∗
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Document Date: 2013-03-21 17:07:43

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City

New York / /

Company

Santa Barbara LLC / ACM Press / /

Country

United States / /

Facility

Mayo Clinic / University of California / /

IndustryTerm

household chemicals / iterative algorithm / linear time algorithm / breadth-first search / social networks / graph algorithms / /

Organization

University of California / Society for Industrial and Applied Mathematics / /

Person

Usha Nandini Raghavan / Reka Albert / Tamara G. Kolda / Soundar Kumara / Ali Pinar / Marco Rosa / Paolo Boldi / C. Seshadhri / Jeremy Kepner / Sebastiano Vigna / John R. Gilbert / Massimo Santini / /

Position

driver / Programmer / /

Product

Opteron system / Opteron / /

ProgrammingLanguage

SQL / JavaScript / /

ProvinceOrState

New York / California / /

Technology

Adam / graph algorithms / RAM / Peer Pressure algorithm / ThreadStorm processors / clustering algorithm / linear time algorithm / iterative algorithm / RDF / PeerPressure algorithm / /

SocialTag