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TKDE
2002
168views more  TKDE 2002»
15 years 6 months ago
CLARANS: A Method for Clustering Objects for Spatial Data Mining
Spatial data mining is the discovery of interesting relationships and characteristics that may exist implicitly in spatial databases. To this end, this paper has three main contrib...
Raymond T. Ng, Jiawei Han
DMIN
2009
144views Data Mining» more  DMIN 2009»
15 years 4 months ago
Fish or Shark - Data Mining Online Poker
In this paper, data mining techniques are used to analyze data gathered from online poker. The study focuses on short-handed Texas Hold'em, and the data sets used contain thou...
Ulf Johansson, Cecilia Sönströd
KDD
2002
ACM
113views Data Mining» more  KDD 2002»
16 years 7 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...
ICS
2009
Tsinghua U.
15 years 11 months ago
A translation system for enabling data mining applications on GPUs
Modern GPUs offer much computing power at a very modest cost. Even though CUDA and other related recent developments are accelerating the use of GPUs for general purpose applicati...
Wenjing Ma, Gagan Agrawal
DATAMINE
2000
118views more  DATAMINE 2000»
15 years 6 months ago
Spatial Data Mining: Database Primitives, Algorithms and Efficient DBMS Support
Abstract: Spatial data mining algorithms heavily depend on the efficient processing of neighborhood relations since the neighbors of many objects have to be investigated in a singl...
Martin Ester, Alexander Frommelt, Hans-Peter Krieg...