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TSMC
2002
135views more  TSMC 2002»
13 years 4 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
PAMI
1998
127views more  PAMI 1998»
13 years 4 months ago
The Random Subspace Method for Constructing Decision Forests
—Much of previous attention on decision trees focuses on the splitting criteria and optimization of tree sizes. The dilemma between overfitting and achieving maximum accuracy is ...
Tin Kam Ho
KBS
2002
141views more  KBS 2002»
13 years 4 months ago
Using J-pruning to reduce overfitting in classification trees
The automatic induction of classification rules from examples in the form of a decision tree is an important technique used in data mining. One of the problems encountered is the o...
Max Bramer
JMLR
2002
102views more  JMLR 2002»
13 years 4 months ago
Efficient Algorithms for Decision Tree Cross-validation
Cross-validation is a useful and generally applicable technique often employed in machine learning, including decision tree induction. An important disadvantage of straightforward...
Hendrik Blockeel, Jan Struyf
INFORMATICALT
2002
150views more  INFORMATICALT 2002»
13 years 4 months ago
Application of Data Mining Technique for Diagnosis of Posterior Uveal Melanoma
Application of knowledge discovery in databases (data mining) for medical decision support is discussed in this work. The aim of the study was to use decision support algorithm for...
Darius Jegelevicius, Arunas Lukosevicius, Alvydas ...
DATAMINE
1998
249views more  DATAMINE 1998»
13 years 4 months ago
Automatic Construction of Decision Trees from Data: A Multi-Disciplinary Survey
Decision trees have proved to be valuable tools for the description, classi cation and generalizationof data. Work on constructingdecisiontrees from data exists in multiplediscipli...
Sreerama K. Murthy
SIGKDD
2000
96views more  SIGKDD 2000»
13 years 4 months ago
The MP13 Approach to the KDD'99 Classifier Learning Contest
The MP13 method is best summarized as recognition based on voting decision trees using "pipes" in potential space. Keywords Voting; Decision Tree; Potential Space
Vladimir Miheev, Alexei Vopilov, Ivan Shabalin
TITB
2008
178views more  TITB 2008»
13 years 4 months ago
Automated Diagnosis of Coronary Artery Disease Based on Data Mining and Fuzzy Modeling
A fuzzy rule-based decision support system (DSS) is presented for the diagnosis of coronary artery disease (CAD). The system is automatically generated from an initial annotated da...
Markos G. Tsipouras, Themis P. Exarchos, Dimitrios...
IJAR
2007
87views more  IJAR 2007»
13 years 4 months ago
Pruning belief decision tree methods in averaging and conjunctive approaches
The belief decision tree (BDT) approach is a decision tree in an uncertain environment where the uncertainty is represented through the Transferable Belief Model (TBM), one interp...
Salsabil Trabelsi, Zied Elouedi, Khaled Mellouli
PAAPP
2006
85views more  PAAPP 2006»
13 years 4 months ago
A new metric splitting criterion for decision trees
Abstract: We examine a new approach to building decision tree by introducing a geometric splitting criterion, based on the properties of a family of metrics on the space of partiti...
Dan A. Simovici, Szymon Jaroszewicz