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» Top-k spatial keyword queries on road networks
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ICDE
2006
IEEE
126views Database» more  ICDE 2006»
15 years 11 months ago
Enabling Query Processing on Spatial Networks
A system that enables real time query processing on large spatial networks is demonstrated. The system provides functionality for processing a wide range of spatial queries such a...
Jagan Sankaranarayanan, Houman Alborzi, Hanan Same...
ICDE
2010
IEEE
271views Database» more  ICDE 2010»
15 years 9 months ago
Preference Queries in Large Multi-Cost Transportation Networks
Research on spatial network databases has so far considered that there is a single cost value associated with each road segment of the network. In most real-world situations, howev...
Kyriakos Mouratidis, Yimin Lin, Man Lung Yiu
85
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MDM
2010
Springer
281views Communications» more  MDM 2010»
14 years 11 months ago
Efficient Evaluation of k-Range Nearest Neighbor Queries in Road Networks
A k-Range Nearest Neighbor (or kRNN for short) query in road networks finds the k nearest neighbors of every point on the road segments within a given query region based on the net...
Jie Bao 0003, Chi-Yin Chow, Mohamed F. Mokbel, Wei...
DEBU
2010
170views more  DEBU 2010»
14 years 9 months ago
Roads Belong in Databases
The popularity of location-based services and the need to perform real-time processing on them has led to an interest in queries on road networks, such as finding shortest paths a...
Jagan Sankaranarayanan, Hanan Samet
GIS
2008
ACM
15 years 10 months ago
Pedestrian flow prediction in extensive road networks using biased observational data
In this paper, we discuss an application of spatial data mining to predict pedestrian flow in extensive road networks using a large biased sample. Existing out-of-the-box techniqu...
Michael May, Simon Scheider, Roberto Rösler, ...