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COSIT
1999
Springer
162views GIS» more  COSIT 1999»
15 years 2 months ago
Terminological Default Reasoning about Spatial Information: A First Step
We extend the theory about terminological default reasoning by using a logical base language that can represent spatioterminological phenomena. Based on this description logic lang...
Ralf Möller, Michael Wessel
FLAIRS
2004
14 years 11 months ago
Clustering Spatial Data in the Presence of Obstacles
Clustering is a form of unsupervised machine learning. In this paper, we proposed the DBRS_O method to identify clusters in the presence of intersected obstacles. Without doing an...
Xin Wang, Howard J. Hamilton
KDD
2006
ACM
153views Data Mining» more  KDD 2006»
15 years 10 months ago
Spatial scan statistics: approximations and performance study
Spatial scan statistics are used to determine hotspots in spatial data, and are widely used in epidemiology and biosurveillance. In recent years, there has been much effort invest...
Deepak Agarwal, Andrew McGregor, Jeff M. Phillips,...
MOBIHOC
2008
ACM
15 years 9 months ago
Using persistent homology to recover spatial information from encounter traces
In order to better understand human and animal mobility and its potential effects on Mobile Ad-Hoc networks and Delay-Tolerant Networks, many researchers have conducted experiment...
Brenton D. Walker
BMCBI
2004
208views more  BMCBI 2004»
14 years 9 months ago
Using 3D Hidden Markov Models that explicitly represent spatial coordinates to model and compare protein structures
Background: Hidden Markov Models (HMMs) have proven very useful in computational biology for such applications as sequence pattern matching, gene-finding, and structure prediction...
Vadim Alexandrov, Mark Gerstein