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» Building Simple Models: A Case Study with Decision Trees
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ICDM
2009
IEEE
142views Data Mining» more  ICDM 2009»
13 years 5 months ago
Building Classifiers with Independency Constraints
In this paper we study the problem of classifier learning where the input data contains unjustified dependencies between some data attributes and the class label. Such cases arise...
Toon Calders, Faisal Kamiran, Mykola Pechenizkiy
ANOR
2004
143views more  ANOR 2004»
13 years 7 months ago
Model Independent Parametric Decision Making
Accurate knowledge of the effect of parameter uncertainty on process design and operation is essential for optimal and feasible operation of a process plant. Existing approaches de...
Ipsita Banerjee, Marianthi G. Ierapetritou
WSC
2008
13 years 10 months ago
How to build valid and credible simulation models
In this tutorial we present techniques for building valid and credible simulation models. Ideas to be discussed include the importance of a definitive problem formulation, discuss...
Averill M. Law
WSC
2004
13 years 9 months ago
Simulation in Context: Using Data Farming for Decision Support
Data Farming leverages high performance computing to run simple models many times. This process allows for the exploration of massive parameter spaces relatively quickly. This pap...
Philip S. Barry, Matthew T. K. Koehler
PAKDD
2000
ACM
128views Data Mining» more  PAKDD 2000»
13 years 11 months ago
A Comparative Study of Classification Based Personal E-mail Filtering
This paper addresses personal E-mail filtering by casting it in the framework of text classification. Modeled as semi-structured documents, Email messages consist of a set of field...
Yanlei Diao, Hongjun Lu, Dekai Wu