Density-based adaptive spatial clustering algorithm for identifying local high-density areas in georeferenced documents

An emerging topic in social media is the increase in the number of geo-annotated documents, which include not only posted time but also posted location. Social media users have been transmitting information about things they witnessed themselves in their daily life through such geo-annotated (georef...

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Veröffentlicht in:	Conference proceedings - IEEE International Conference on Systems, Man, and Cybernetics S. 513 - 518
Hauptverfasser:	Sakai, Tatsuhiro, Tamura, Keiichi, Kitakami, Hajime
Format:	Tagungsbericht
Sprache:	Englisch
Veröffentlicht:	IEEE 01.10.2014
Schlagworte:	adaptive spatial clustering Algorithm design and analysis Clustering algorithms Data mining DBSCAN density-based cluster Kernel local topic extraction Media social media spatial cluster Spatiotemporal phenomena Twitter
ISSN:	1062-922X
Online-Zugang:	Volltext
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