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» Maintaining Spatial Data Sets in Distributed-Memory Machines
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KDD
2009
ACM
152views Data Mining» more  KDD 2009»
14 years 8 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
DEXAW
2005
IEEE
193views Database» more  DEXAW 2005»
14 years 1 months ago
Adaptive Distributed Indexing for Spatial Queries in Sensor Networks
Sensor networks have opened new horizons and opportunities for a variety of environmental monitoring, surveillance and healthcare applications. One of the major tasks of sensor ne...
Vladimir Dyo, Cecilia Mascolo
KDD
2000
ACM
133views Data Mining» more  KDD 2000»
13 years 11 months ago
Data selection for support vector machine classifiers
The problem of extracting a minimal number of data points from a large dataset, in order to generate a support vector machine (SVM) classifier, is formulated as a concave minimiza...
Glenn Fung, Olvi L. Mangasarian
ICPADS
2000
IEEE
14 years 3 days ago
Parallel Spatial Joins Using Grid Files
The most costly spatial operation in spatial databases is a spatial join with combines objects from two data sets based on spatial predicates. Even if the execution time of sequen...
Jin-Deog Kim, Bonghee Hong
ISCAPDCS
2007
13 years 9 months ago
PARALLEL-TCOFFEE: A parallel multiple sequence aligner
In this paper we present a parallel implementation of T–Coffee — a widely used multiple sequence alignment package. Our software supports a majority of options provided by the...
Jaroslaw Zola, Xiao Yang, Adrian Rospondek, Sriniv...