Survey on Spatio-Temporal Clustering

Vaishali V. Dhundale, M. S. Takalikar

Abstract: Clustering is one of the major data mining methods in large databases for knowledge discovery. The importance of spatial and spatio-temporal data mining is growing with the increasing attention to social media and vast amount of spatio-temporal data generated by mobile devices, GPS, weather forecasting. Thus, clustering plays important role in broad range of applications. Density based clustering DBSCAN is commonly used for spatial data mining. Various density based clustering algorithms and its modifications are used for spatio-temporal clustering. Literature survey, challenges, applications of spatio-temporal data are introduced in further sections.

Keywords: Spatio-temporal data, density based clustering, spatio-temporal data analysis, data mining

How to Cite?: Vaishali V. Dhundale, M. S. Takalikar, "Survey on Spatio-Temporal Clustering", Volume 5 Issue 7, July 2016, International Journal of Science and Research (IJSR), Pages: 1998-2001, https://www.ijsr.net/getabstract.php?paperid=ART2016667, DOI: https://dx.doi.org/10.21275/ART2016667

Download Citation: APA | MLA | BibTeX | EndNote | RefMan