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AI
2005
Springer
13 years 11 months ago
A Comparative Study of Two Density-Based Spatial Clustering Algorithms for Very Large Datasets
Spatial clustering is an active research area in spatial data mining with various methods reported. In this paper, we compare two density-based methods, DBSCAN and DBRS. First, we ...
Xin Wang, Howard J. Hamilton
PKDD
2005
Springer
92views Data Mining» more  PKDD 2005»
13 years 10 months ago
Mining Model Trees from Spatial Data
Mining regression models from spatial data is a fundamental task in Spatial Data Mining. We propose a method, namely Mrs-SMOTI, that takes advantage from a tight-integration with s...
Donato Malerba, Michelangelo Ceci, Annalisa Appice
IJDMMM
2008
119views more  IJDMMM 2008»
13 years 5 months ago
A relational perspective on spatial data mining
: Remote sensing and mobile devices nowadays collect a huge amount of spatial data, which have to be analysed in order to discover interesting information about economic, social an...
Donato Malerba
MASS
2010
157views Communications» more  MASS 2010»
13 years 3 months ago
Spatial extension of the Reality Mining Dataset
Data captured from a live cellular network with the real users during their common daily routine help to understand how the users move within the network. Unlike the simulations wi...
Michal Ficek, Lukas Kencl
ICDCS
2012
IEEE
11 years 7 months ago
NEAT: Road Network Aware Trajectory Clustering
—Mining trajectory data has been gaining significant interest in recent years. However, existing approaches to trajectory clustering are mainly based on density and Euclidean di...
Binh Han, Ling Liu, Edward Omiecinski