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» An Approach to Generation of Decision Rules
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TSMC
2002
135views more  TSMC 2002»
13 years 9 months ago
Fuzzy decision tree, linguistic rules and fuzzy knowledge-based network: generation and evaluation
A fuzzy knowledge-based network is developed based on the linguistic rules extracted from a fuzzy decision tree. A scheme for automatic linguistic discretization of continuous attr...
Sushmita Mitra, Kishori M. Konwar, Sankar K. Pal
TMI
1998
97views more  TMI 1998»
13 years 9 months ago
Optimization and FROC Analysis of Rule-Based Detection Schemes Using a Multiobjective Approach
Abstract—Computerized detection schemes have the potential of increasing diagnostic accuracy in medical imaging by alerting radiologists to lesions that they initially overlooked...
Mark A. Anastasio, Matthew A. Kupinski, Robert M. ...
ADC
2006
Springer
130views Database» more  ADC 2006»
14 years 3 months ago
A two-phase rule generation and optimization approach for wrapper generation
Web information extraction is a fundamental issue for web information management and integrations. A common approach is to use wrappers to extract data from web pages or documents...
Yanan Hao, Yanchun Zhang
ECML
2005
Springer
14 years 3 months ago
A Distance-Based Approach for Action Recommendation
Abstract. Rule induction has attracted a great deal of attention in Machine Learning and Data Mining. However, generating rules is not an end in itself because their applicability ...
Ronan Trepos, Ansaf Salleb, Marie-Odile Cordier, V...
TJS
2010
182views more  TJS 2010»
13 years 8 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