Sciweavers

2065 search results - page 271 / 413
» Techniques of Cluster Algorithms in Data Mining
Sort
View
KDD
1997
ACM
146views Data Mining» more  KDD 1997»
15 years 10 months ago
Density-Connected Sets and their Application for Trend Detection in Spatial Databases
1 Several clustering algorithms have been proposed for class identification in spatial databases such as earth observation databases. The effectivity of the well-known algorithms ...
Martin Ester, Hans-Peter Kriegel, Jörg Sander...
KDD
2008
ACM
140views Data Mining» more  KDD 2008»
16 years 6 months ago
Semi-supervised approach to rapid and reliable labeling of large data sets
Supervised classification methods have been shown to be very effective for a large number of applications. They require a training data set whose instances are labeled to indicate...
György J. Simon, Vipin Kumar, Zhi-Li Zhang
SDM
2010
SIAM
153views Data Mining» more  SDM 2010»
15 years 8 months ago
The Generalized Dimensionality Reduction Problem
The dimensionality reduction problem has been widely studied in the database literature because of its application for concise data representation in a variety of database applica...
Charu C. Aggarwal
SIGMOD
2009
ACM
177views Database» more  SIGMOD 2009»
16 years 6 months ago
Exploiting context analysis for combining multiple entity resolution systems
Entity Resolution (ER) is an important real world problem that has attracted significant research interest over the past few years. It deals with determining which object descript...
Zhaoqi Chen, Dmitri V. Kalashnikov, Sharad Mehrotr...
BIODATAMINING
2008
96views more  BIODATAMINING 2008»
15 years 6 months ago
Fast approximate hierarchical clustering using similarity heuristics
Background: Agglomerative hierarchical clustering (AHC) is a common unsupervised data analysis technique used in several biological applications. Standard AHC methods require that...
Meelis Kull, Jaak Vilo