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» From the Nearest Neighbour Rule to Decision Trees
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ECCE
2007
15 years 3 months ago
Intelligent decision support in medicine: back to Bayes?
: Decision Support Systems are proliferating rapidly in many areas of human endeavour including clinical medicine and psychology. While these are typically based on rulebased syste...
Gitte Lindgaard
EDBT
2000
ACM
15 years 3 months ago
Mining Classification Rules from Datasets with Large Number of Many-Valued Attributes
Decision tree induction algorithms scale well to large datasets for their univariate and divide-and-conquer approach. However, they may fail in discovering effective knowledge when...
Giovanni Giuffrida, Wesley W. Chu, Dominique M. Ha...
DIAGRAMS
2004
Springer
15 years 5 months ago
Decision Diagrams in Machine Learning: An Empirical Study on Real-Life Credit-Risk Data
Decision trees are a widely used knowledge representation in machine learning. However, one of their main drawbacks is the inherent replication of isomorphic subtrees, as a result...
Christophe Mues, Bart Baesens, Craig M. Files, Jan...
TJS
2010
182views more  TJS 2010»
14 years 10 months ago
A novel unsupervised classification approach for network anomaly detection by k-Means clustering and ID3 decision tree learning
This paper presents a novel host-based combinatorial method based on k-Means clustering and ID3 decision tree learning algorithms for unsupervised classification of anomalous and ...
Yasser Yasami, Saadat Pour Mozaffari
NAACL
2001
15 years 1 months ago
Re-Engineering Letter-to-Sound Rules
Using finite-state automata for the text analysis component in a text-to-speech system is problematic in several respects: the rewrite rules from which the automata are compiled a...
Martin Jansche