A Varied Density-based Clustering Approach for Event Detection from Heterogeneous Twitter Data
Extracting the latent knowledge from Twitter by applying spatial clustering on geotagged tweets provides the ability to discover events and their locations. DBSCAN (density-based spatial clustering of applications with noise), which has been widely used to retrieve events from geotagged tweets, cann...
Main Authors: | , |
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Format: | Article |
Language: | English |
Published: |
MDPI AG
2019-02-01
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Series: | ISPRS International Journal of Geo-Information |
Subjects: | |
Online Access: | https://www.mdpi.com/2220-9964/8/2/82 |