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» Branching on Attribute Values in Decision Tree Generation
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EDBT
2000
ACM
14 years 1 days 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...
DIS
2005
Springer
14 years 1 months ago
Practical Algorithms for Pattern Based Linear Regression
We consider the problem of discovering the optimal pattern from a set of strings and associated numeric attribute values. The goodness of a pattern is measured by the correlation b...
Hideo Bannai, Kohei Hatano, Shunsuke Inenaga, Masa...
JMLR
2010
182views more  JMLR 2010»
13 years 3 months ago
Decision Tree for Dynamic and Uncertain Data Streams
Current research on data stream classification mainly focuses on certain data, in which precise and definite value is usually assumed. However, data with uncertainty is quite natu...
Chunquan Liang, Yang Zhang, Qun Song
KDD
1999
ACM
185views Data Mining» more  KDD 1999»
14 years 21 days ago
Visual Classification: An Interactive Approach to Decision Tree Construction
Satisfying the basic requirements of accuracy and understandability of a classifier, decision tree classifiers have become very popular. Instead of constructing the decision tree ...
Mihael Ankerst, Christian Elsen, Martin Ester, Han...
BIBM
2009
IEEE
164views Bioinformatics» more  BIBM 2009»
14 years 1 months ago
Differential Predictive Modeling for Racial Disparities in Breast Cancer
The primary objective of disparities research is to model the differences across multiple groups and identify the groups that behave significantly different from each other. Indep...
Indranil Palit, Chandan K. Reddy, Kendra L. Schwar...