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...

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Bibliographic Details
Main Authors: Zeinab Ghaemi, Mahdi Farnaghi
Format: Article
Language:English
Published: MDPI AG 2019-02-01
Series:ISPRS International Journal of Geo-Information
Subjects:
Online Access:https://www.mdpi.com/2220-9964/8/2/82