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KDD
2002
ACM
113views Data Mining» more  KDD 2002»
14 years 6 months ago
Scalable robust covariance and correlation estimates for data mining
Covariance and correlation estimates have important applications in data mining. In the presence of outliers, classical estimates of covariance and correlation matrices are not re...
Fatemah A. Alqallaf, Kjell P. Konis, R. Douglas Ma...
KDD
2001
ACM
253views Data Mining» more  KDD 2001»
14 years 6 months ago
GESS: a scalable similarity-join algorithm for mining large data sets in high dimensional spaces
The similarity join is an important operation for mining high-dimensional feature spaces. Given two data sets, the similarity join computes all tuples (x, y) that are within a dis...
Jens-Peter Dittrich, Bernhard Seeger
SIGMOD
1998
ACM
271views Database» more  SIGMOD 1998»
13 years 5 months ago
Towards On-Line Analytical Mining in Large Databases
Great e orts have been paid in the Intelligent Database Systems Research Lab for the research and development of e cient data mining methods and construction of on-line analytical...
Jiawei Han
DAWAK
2004
Springer
13 years 11 months ago
Multidimensional Data Visual Exploration by Interactive Information Segments
Visualization techniques provide an outstanding role in KDD process for data analysis and mining. However, one image does not always convey successfully the inherent information fr...
Francisco J. Ferrer-Troyano, Jesús S. Aguil...
IPPS
2010
IEEE
13 years 3 months ago
Large-scale multi-dimensional document clustering on GPU clusters
Document clustering plays an important role in data mining systems. Recently, a flocking-based document clustering algorithm has been proposed to solve the problem through simulat...
Yongpeng Zhang, Frank Mueller, Xiaohui Cui, Thomas...