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» The Problems of Data Modeling in Software Practice
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ICML
2004
IEEE
16 years 4 months ago
Learning and evaluating classifiers under sample selection bias
Classifier learning methods commonly assume that the training data consist of randomly drawn examples from the same distribution as the test examples about which the learned model...
Bianca Zadrozny
GFKL
2007
Springer
139views Data Mining» more  GFKL 2007»
15 years 10 months ago
The Noise Component in Model-based Cluster Analysis
The so-called noise-component has been introduced by Banfield and Raftery (1993) to improve the robustness of cluster analysis based on the normal mixture model. The idea is to ad...
Christian Hennig, Pietro Coretto
KDD
2003
ACM
109views Data Mining» more  KDD 2003»
16 years 4 months ago
Experimental design for solicitation campaigns
Data mining techniques are routinely used by fundraisers to select those prospects from a large pool of candidates who are most likely to make a financial contribution. These tech...
Uwe F. Mayer, Armand Sarkissian
KAIS
2007
112views more  KAIS 2007»
15 years 3 months ago
The pairwise attribute noise detection algorithm
Analyzing the quality of data prior to constructing data mining models is emerging as an important issue. Algorithms for identifying noise in a given data set can provide a good me...
Jason Van Hulse, Taghi M. Khoshgoftaar, Haiying Hu...
ISARCS
2010
240views Hardware» more  ISARCS 2010»
15 years 6 months ago
Engineering a Distributed e-Voting System Architecture: Meeting Critical Requirements
Voting is a critical component of any democratic process; and electronic voting systems should be developed following best practices for critical system development. E-voting has i...
J. Paul Gibson, Eric Lallet, Jean-Luc Raffy