Generating dynamic social networks from large scale unstructured data /

"Developing a social network map is fundamental to comprehensively understanding a person. Social networks are dynamic and better derived from real-world data than static configurations. However, the vast majority of this real world data is unstructured. This presentation will show how Synthesy...

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Detalles Bibliográficos
Clasificación:Libro Electrónico
Autor principal: Estes, Tim
Autor Corporativo: O'Reilly Strata Making Data Work Conference
Formato: Electrónico Congresos, conferencias Video
Idioma:Inglés
Publicado: [United States?] : O'Reilly Media, 2011.
Temas:
Data mining.
Online social networks.
Data Mining
Exploration de données (Informatique)
Réseaux sociaux (Internet)
Electronic videos.
Acceso en línea:Texto completo (Requiere registro previo con correo institucional)
Descripción
Sumario:"Developing a social network map is fundamental to comprehensively understanding a person. Social networks are dynamic and better derived from real-world data than static configurations. However, the vast majority of this real world data is unstructured. This presentation will show how Synthesys uses very large scale unstructured data to create social network maps for reporting and further analysis."--Resource description page.
Descripción Física:1 online resource (1 streaming video file (41 min., 39 sec.))

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