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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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Bibliographic Details
Main Author: Estes, Tim
Format: eBook
Language:English
Published: [United States?] O'Reilly Media 2011
Subjects:
Data Mining
Data Mining / Fast / (ocolc)fst00887946
Online Social Networks / Fast / (ocolc)fst01741311
Data Mining / Http://id.loc.gov/authorities/subjects/sh97002073
Online Social Networks / Http://id.loc.gov/authorities/subjects/sh2006006990
Réseaux Sociaux (internet)
Exploration De Données (informatique)
Online Access:
Collection: O'Reilly - Collection details see MPG.ReNa
Description
Summary:"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
Item Description:Recorded at O'Reilly strata making data work conference: Feb. 1-3, 2011, Santa Clara, Calif
Physical Description:1 streaming video file (41 min., 39 sec.)

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