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» Spatial Data Mining: A Database Approach
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KDD
2007
ACM
137views Data Mining» more  KDD 2007»
16 years 28 days ago
Characterising the difference
Characterising the differences between two databases is an often occurring problem in Data Mining. Detection of change over time is a prime example, comparing databases from two b...
Jilles Vreeken, Matthijs van Leeuwen, Arno Siebes
101
Voted
RECOMB
2004
Springer
16 years 25 days ago
Mining protein family specific residue packing patterns from protein structure graphs
Finding recurring residue packing patterns, or spatial motifs, that characterize protein structural families is an important problem in bioinformatics. To this end, we apply a nov...
Jun Huan, Wei Wang 0010, Deepak Bandyopadhyay, Jac...
144
Voted
KDD
2003
ACM
205views Data Mining» more  KDD 2003»
16 years 28 days ago
The data mining approach to automated software testing
In today's industry, the design of software tests is mostly based on the testers' expertise, while test automation tools are limited to execution of pre-planned tests on...
Mark Last, Menahem Friedman, Abraham Kandel
97
Voted
DBPL
1999
Springer
122views Database» more  DBPL 1999»
15 years 4 months ago
A Representation Independent Language for Planar Spatial Databases with Euclidean Distance
Linear constraint databases and query languages are appropriate for spatial database applications. Not only the data model is natural to represent a large portion of spatial data s...
Gabriel M. Kuper, Jianwen Su
96
Voted
IPMU
2010
Springer
15 years 5 months ago
Plateau Regions: An Implementation Concept for Fuzzy Regions in Spatial Databases and GIS
Abstract. Many geographical applications need to model spatial phenomena with vague or indeterminate boundaries and interiors. A popular paradigm adopted by the GIS community for t...
Virupaksha Kanjilal, Hechen Liu, Markus Schneider