A Varied Density-based Clustering Approach for Event Detection from Heterogeneous Twitter Data
A Varied Density-based Clustering Approach for Event Detection from Heterogeneous Twitter Data
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Publisher
Basel: MDPI AG
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Language
English
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Basel: MDPI AG
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Contents
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, cannot efficiently detect clusters when there is signi...
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Full title
A Varied Density-based Clustering Approach for Event Detection from Heterogeneous Twitter Data
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TN_cdi_doaj_primary_oai_doaj_org_article_03882912f4894b2a86c3ccd657226324
Permalink
https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_03882912f4894b2a86c3ccd657226324
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ISSN
2220-9964
E-ISSN
2220-9964
DOI
10.3390/ijgi8020082
