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KDD
2001
ACM
226views Data Mining» more  KDD 2001»
14 years 12 days ago
Image Mining: Issues, Frameworks and Techniques
Advances in image acquisition and storage technology have led to tremendous growth in significantly large and detailed image databases. These images, if analyzed, can reveal usefu...
Ji Zhang, Wynne Hsu, Mong-Li Lee
IJDMMM
2008
72views more  IJDMMM 2008»
13 years 8 months ago
Mining event histories: a social science perspective
We explore how recent data-mining-based tools developed in domains such as biomedicine or text-mining for extracting interesting knowledge from sequence data could be applied to pe...
Gilbert Ritschard, Alexis Gabadinho, Nicolas S. M&...
DATAMINE
2006
164views more  DATAMINE 2006»
13 years 8 months ago
Fast Distributed Outlier Detection in Mixed-Attribute Data Sets
Efficiently detecting outliers or anomalies is an important problem in many areas of science, medicine and information technology. Applications range from data cleaning to clinica...
Matthew Eric Otey, Amol Ghoting, Srinivasan Partha...
MINENET
2005
ACM
14 years 1 months ago
Topographical proximity for mining network alarm data
Increasingly powerful fault management systems are required to ensure robustness and quality of service in today’s networks. In this context, event correlation is of prime impor...
Ann Devitt, Joseph Duffin, Robert Moloney
SDM
2012
SIAM
216views Data Mining» more  SDM 2012»
11 years 10 months ago
Feature Selection "Tomography" - Illustrating that Optimal Feature Filtering is Hopelessly Ungeneralizable
:  Feature Selection “Tomography” - Illustrating that Optimal Feature Filtering is Hopelessly Ungeneralizable George Forman HP Laboratories HPL-2010-19R1 Feature selection; ...
George Forman