FAST SS-ILM: A COMPUTATIONALLY EFFICIENT ALGORITHM to DISCOVER SOCIALLY IMPORTANT LOCATIONS
Küçük Resim Yok
Tarih
2017
Yazarlar
Dergi Başlığı
Dergi ISSN
Cilt Başlığı
Yayıncı
Copernicus GmbH
Erişim Hakkı
info:eu-repo/semantics/openAccess
Özet
Socially important locations are places which are frequently visited by social media users in their social media lifetime. Discovering socially important locations provide several valuable information about user behaviours on social media networking sites. However, discovering socially important locations are challenging due to data volume and dimensions, spatial and temporal calculations, location sparseness in social media datasets, and inefficiency of current algorithms. In the literature, several studies are conducted to discover important locations, however, the proposed approaches do not work in computationally efficient manner. In this study, we propose Fast SS-ILM algorithm by modifying the algorithm of SS-ILM to mine socially important locations efficiently. Experimental results show that proposed Fast SS-ILM algorithm decreases execution time of socially important locations discovery process up to 20 %. © Authors 2017.
Açıklama
4th International GeoAdvances Workshop - GeoAdvances 2017: ISPRS Workshop on Multi-Dimensional and Multi-Scale Spatial Data Modeling -- 14 October 2017 through 15 October 2017 -- -- 131995
Anahtar Kelimeler
data mining, social important locations mining, spatial social media mining, Twitter
Kaynak
ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences
WoS Q Değeri
N/A
Scopus Q Değeri
N/A
Cilt
4
Sayı
4W4
