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KDD
2006
ACM
123views Data Mining» more  KDD 2006»
16 years 6 months ago
Mining rank-correlated sets of numerical attributes
We study the mining of interesting patterns in the presence of numerical attributes. Instead of the usual discretization methods, we propose the use of rank based measures to scor...
Toon Calders, Bart Goethals, Szymon Jaroszewicz
STOC
2006
ACM
138views Algorithms» more  STOC 2006»
16 years 6 months ago
Searching dynamic point sets in spaces with bounded doubling dimension
We present a new data structure that facilitates approximate nearest neighbor searches on a dynamic set of points in a metric space that has a bounded doubling dimension. Our data...
Richard Cole, Lee-Ad Gottlieb
PKDD
2009
Springer
113views Data Mining» more  PKDD 2009»
16 years 1 months ago
Feature Selection for Density Level-Sets
A frequent problem in density level-set estimation is the choice of the right features that give rise to compact and concise representations of the observed data. We present an eï¬...
Marius Kloft, Shinichi Nakajima, Ulf Brefeld
ALGORITHMICA
2010
95views more  ALGORITHMICA 2010»
15 years 6 months ago
Homogeneous String Segmentation using Trees and Weighted Independent Sets
We divide a string into k segments, each with only one sort of symbols, so as to minimize the total number of exceptions. Motivations come from machine learning and data mining. F...
Peter Damaschke
ESWA
2006
78views more  ESWA 2006»
15 years 6 months ago
Interval multidimensional scaling for group decision using rough set concept
Multidimensional scaling (MDS) is a statistical tool for constructing a low-dimension configuration to represent the relationships among objects. In order to extend the convention...
Jih-Jeng Huang, Chorng-Shyong Ong, Gwo-Hshiung Tze...