Sciweavers

98 search results - page 3 / 20
» Branching on Attribute Values in Decision Tree Generation
Sort
View
CATA
2004
14 years 11 months ago
Decision Tree Induction for Dynamic, High-Dimensional Data Using P-Trees
1 Decision Tree Induction is a powerful classification tool that is much used in practice and works well for static data with dozens of attributes. We adapt the decision tree conce...
Anne Denton, William Perrizo
85
Voted
ICML
2005
IEEE
15 years 10 months ago
Generalized skewing for functions with continuous and nominal attributes
This paper extends previous work on skewing, an approach to problematic functions in decision tree induction. The previous algorithms were applicable only to functions of binary v...
Soumya Ray, David Page
TSMC
2002
135views more  TSMC 2002»
14 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
INFORMATICALT
2010
103views more  INFORMATICALT 2010»
14 years 4 months ago
Multistage K-Means Clustering for Scenario Tree Construction
Abstract. In stochastic programming and decision analysis, an important issue consists in the approximate representation of the multidimensional stochastic underlying process in th...
Kristina Sutiene, Dalius Makackas, Henrikas Pranev...
ICDE
2000
IEEE
130views Database» more  ICDE 2000»
15 years 11 months ago
CMP: A Fast Decision Tree Classifier Using Multivariate Predictions
Most decision tree classifiers are designed to keep class histograms for single attributes, and to select a particular attribute for the next split using said histograms. In this ...
Haixun Wang, Carlo Zaniolo