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KDD
2004
ACM
157views Data Mining» more  KDD 2004»
15 years 2 months ago
Fast mining of spatial collocations
Spatial collocation patterns associate the co-existence of nonspatial features in a spatial neighborhood. An example of such a pattern can associate contaminated water reservoirs ...
Xin Zhang, Nikos Mamoulis, David W. Cheung, Yutao ...
KDD
2009
ACM
152views Data Mining» more  KDD 2009»
15 years 10 months ago
A multi-relational approach to spatial classification
Spatial classification is the task of learning models to predict class labels based on the features of entities as well as the spatial relationships to other entities and their fe...
Richard Frank, Martin Ester, Arno Knobbe
SISAP
2009
IEEE
122views Data Mining» more  SISAP 2009»
15 years 4 months ago
Dynamic Spatial Approximation Trees for Massive Data
—Metric space searching is an emerging technique to address the problem of efficient similarity searching in many applications, including multimedia databases and other reposito...
Gonzalo Navarro, Nora Reyes
ISCA
1998
IEEE
136views Hardware» more  ISCA 1998»
15 years 1 months ago
Exploiting Spatial Locality in Data Caches Using Spatial Footprints
Modern cache designs exploit spatial locality by fetching large blocks of data called cache lines on a cache miss. Subsequent references to words within the same cache line result...
Sanjeev Kumar, Christopher B. Wilkerson
PODS
1993
ACM
122views Database» more  PODS 1993»
15 years 1 months ago
Towards an Analysis of Range Query Performance in Spatial Data Structures
In this paper, we motivate four di erent user de ned window query classes and derive a probabilistic model for each of them. For each model, we characterize the e ciency of spatia...
Bernd-Uwe Pagel, Hans-Werner Six, Heinrich Toben, ...