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PVLDB
2010
225views more  PVLDB 2010»
13 years 20 days ago
Efficient Processing of Top-k Spatial Preference Queries
Top-k spatial preference queries return a ranked set of the k best data objects based on the scores of feature objects in their spatial neighborhood. Despite the wide range of loc...
João B. Rocha-Junior, Akrivi Vlachou, Chris...
DATAMINE
2000
118views more  DATAMINE 2000»
13 years 5 months ago
Spatial Data Mining: Database Primitives, Algorithms and Efficient DBMS Support
Abstract: Spatial data mining algorithms heavily depend on the efficient processing of neighborhood relations since the neighbors of many objects have to be investigated in a singl...
Martin Ester, Alexander Frommelt, Hans-Peter Krieg...
EUSFLAT
2007
180views Fuzzy Logic» more  EUSFLAT 2007»
13 years 7 months ago
On Cluster Analysis Based on Fuzzy Relations Between Spatial Data
Methods like DBSCAN are widely used in the analysis of spatial data. These methods are based on the neighborhood relations which use distance between points. However, these neighb...
Efendi N. Nasibov, Gözde Ulutagay
HEURISTICS
2002
146views more  HEURISTICS 2002»
13 years 5 months ago
Using Constraint-Based Operators to Solve the Vehicle Routing Problem with Time Windows
This paper presents operators searching large neighborhoods in order to solve the vehicle routing problem. They make use of the pruning and propagation techniques of constraint pr...
Louis-Martin Rousseau, Michel Gendreau, Gilles Pes...
GIS
2008
ACM
14 years 7 months ago
Finding regional co-location patterns for sets of continuous variables in spatial datasets
This paper proposes a novel framework for mining regional colocation patterns with respect to sets of continuous variables in spatial datasets. The goal is to identify regions in ...
Christoph F. Eick, Jean-Philippe Nicot, Rachana Pa...