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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Bibliographic Details

Published in:	Conference proceedings - IEEE International Conference on Systems, Man, and Cybernetics pp. 513 - 518
Main Authors:	Sakai, Tatsuhiro, Tamura, Keiichi, Kitakami, Hajime
Format:	Conference Proceeding
Language:	English
Published:	IEEE 01.10.2014
Subjects:	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 Access:	Get full text
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