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KDD
2008
ACM
116views Data Mining» more  KDD 2008»
14 years 10 months ago
Volatile correlation computation: a checkpoint view
Recent years have witnessed increased interest in computing strongly correlated pairs in very large databases. Most previous studies have been focused on static data sets. However...
Wenjun Zhou, Hui Xiong
KDD
2005
ACM
130views Data Mining» more  KDD 2005»
14 years 10 months ago
Simple and effective visual models for gene expression cancer diagnostics
In the paper we show that diagnostic classes in cancer gene expression data sets, which most often include thousands of features (genes), may be effectively separated with simple ...
Gregor Leban, Minca Mramor, Ivan Bratko, Blaz Zupa...
KDD
2001
ACM
203views Data Mining» more  KDD 2001»
14 years 10 months ago
Ensemble-index: a new approach to indexing large databases
The problem of similarity search (query-by-content) has attracted much research interest. It is a difficult problem because of the inherently high dimensionality of the data. The ...
Eamonn J. Keogh, Selina Chu, Michael J. Pazzani
PODS
2008
ACM
159views Database» more  PODS 2008»
14 years 10 months ago
Approximation algorithms for clustering uncertain data
There is an increasing quantity of data with uncertainty arising from applications such as sensor network measurements, record linkage, and as output of mining algorithms. This un...
Graham Cormode, Andrew McGregor
ICDM
2006
IEEE
214views Data Mining» more  ICDM 2006»
14 years 3 months ago
Forecasting Skewed Biased Stochastic Ozone Days: Analyses and Solutions
Much work on skewed, stochastic, high dimensional, and biased datasets usually implicitly solve each problem separately. Recently however, we have been approached by Texas Commiss...
Kun Zhang, Wei Fan, Xiaojing Yuan, Ian Davidson, X...