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» On Density Based Transforms for Uncertain Data Mining
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ICDM
2009
IEEE
205views Data Mining» more  ICDM 2009»
14 years 2 months ago
Active Selection of Sensor Sites in Remote Sensing Applications
— In a data-mining approach, a model for estimation of Aerosol Optical Depth (AOD) from satellite observations is learned using collocated satellite and groundbased observations....
Debasish Das, Zoran Obradovic, Slobodan Vucetic
KDD
2004
ACM
179views Data Mining» more  KDD 2004»
14 years 8 months ago
1-dimensional splines as building blocks for improving accuracy of risk outcomes models
Transformation of both the response variable and the predictors is commonly used in fitting regression models. However, these transformation methods do not always provide the maxi...
David S. Vogel, Morgan C. Wang
WCRE
2007
IEEE
14 years 1 months ago
Quality Assessment Based on Attribute Series of Software Evolution
Defect density and defect prediction are essential for efficient resource allocation in software evolution. In an empirical study we applied data mining techniques for value seri...
Jacek Ratzinger, Harald Gall, Martin Pinzger
JIIS
2006
113views more  JIIS 2006»
13 years 7 months ago
Spatial ordering and encoding for geographic data mining and visualization
: Geographic information (e.g., locations, networks, and nearest neighbors) are unique and different from other aspatial attributes (e.g., population, sales, or income). It is a ch...
Diansheng Guo, Mark Gahegan
AUSAI
2005
Springer
14 years 1 months ago
K-Optimal Pattern Discovery: An Efficient and Effective Approach to Exploratory Data Mining
Most data-mining techniques seek a single model that optimizes an objective function with respect to the data. In many real-world applications several models will equally optimize...
Geoffrey I. Webb