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» A Comparison of Decision Tree Ensemble Creation Techniques
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CSDA
2008
128views more  CSDA 2008»
14 years 11 months ago
Classification tree analysis using TARGET
Tree models are valuable tools for predictive modeling and data mining. Traditional tree-growing methodologies such as CART are known to suffer from problems including greediness,...
J. Brian Gray, Guangzhe Fan
DMIN
2009
144views Data Mining» more  DMIN 2009»
14 years 9 months ago
Fish or Shark - Data Mining Online Poker
In this paper, data mining techniques are used to analyze data gathered from online poker. The study focuses on short-handed Texas Hold'em, and the data sets used contain thou...
Ulf Johansson, Cecilia Sönströd
HASE
2007
IEEE
15 years 6 months ago
Integrating Product-Line Fault Tree Analysis into AADL Models
Fault Tree Analysis (FTA) is a safety-analysis technique that has been recently extended to accommodate product-line engineering for critical domains. This paper describes a tool-...
Hongyu Sun, Miriam Hauptman, Robyn R. Lutz
BMCBI
2006
139views more  BMCBI 2006»
14 years 11 months ago
DNA Molecule Classification Using Feature Primitives
Background: We present a novel strategy for classification of DNA molecules using measurements from an alpha-Hemolysin channel detector. The proposed approach provides excellent c...
Raja Tanveer Iqbal, Matthew Landry, Stephen Winter...
ML
2000
ACM
154views Machine Learning» more  ML 2000»
14 years 11 months ago
Lazy Learning of Bayesian Rules
The naive Bayesian classifier provides a simple and effective approach to classifier learning, but its attribute independence assumption is often violated in the real world. A numb...
Zijian Zheng, Geoffrey I. Webb