Extracting Attractive Local-Area Topics in Georeferenced Documents using a New Density-based Spatial Clustering Algorithm

Along with the popularization of social media, huge numbers of georeferenced documents (which include location information) are being posted on social media sites via the Internet, allowing people to transmit and collect geographic information. Typically, such georeferenced documents are related not...

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Veröffentlicht in:	IAENG international journal of computer science Jg. 41; H. 3; S. 185 - 192
Hauptverfasser:	Sakai, Tatsuhiro, Tamura, Keiichi, Kitakami, Hajime
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	01.09.2014
Schlagworte:	Algorithms Clustering Clusters Digital media Internet Recognition Social networks
ISSN:	1819-656X, 1819-9224
Online-Zugang:	Volltext
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