|
7
|
Constructing New Attributes for Decision Tree Learning
– Zijian Zheng
- 1996
|
|
|
MLC++ Utilities 2.0
– Ronny Kohavi, Dan Sommerfield
- 1996
|
|
121
|
Automatic Construction of Decision Trees from Data: A Multi-Disciplinary Survey
– Sreerama K. Murthy
- 1997
|
|
94
|
Wrappers For Performance Enhancement And Oblivious Decision Graphs
– Ron Kohavi, Yoav Shoham, Jerry Friedman
- 1995
|
|
3
|
A global optimal algorithm for class-dependent discretization of continuous data”, Intelligent Data Analysis 8,2004
– Lili Liu, Andrew K. C. Wong, Yang Wang
|
|
31
|
General and Efficient Multisplitting of Numerical Attributes
– Tapio Elomaa, Juho Rousu, C. Holte
- 1999
|
|
5
|
Finding Optimal Multi-Splits for Numerical Attributes in Decision Tree Learning
– Tapio Elomaa, Juho Rousu
- 1996
|
|
4
|
Approximate Boolean Reasoning: Foundations and Applications in Data
– Hung Son Nguyen
|
|
|
unknown title
– unknown authors
- 1996
|
|
1
|
Minimum Splits Based Discretization for Continuous Features
– Ke Wang, Han Chong Goh
- 1997
|
|
|
Error-Based and Entropy-Based Discretization of Continuous Features
– Ron Kohavi Data, Ron Kohavi
- 1996
|
|
32
|
Simplifying Decision Trees: A Survey
– Leonard A. Breslow, David W. Aha
- 1996
|
|
449
|
An Empirical Comparison of Voting Classification Algorithms: Bagging, Boosting, and Variants
– Eric Bauer, Ron Kohavi
- 1999
|
|
85
|
Lazy Decision Trees
– Jerome H. Friedman, Ron Kohavi, Yeogirl Yun
- 1996
|
|
72
|
Building Classifiers using Bayesian Networks
– Nir Friedman, Moises Goldszmidt
- 1996
|
|
12
|
Proportional k-interval discretization for naive-Bayes classifiers
– Ying Yang, Geoffrey I. Webb
- 2001
|
|
|
CloNI: Clustering of √N-Interval discretization
– Chotirat “Ann" Ratanamahatana
|
|
13
|
A Comparative Study of Discretization Methods for Naive-Bayes Classifiers
– Ying Yang, Geoffrey I. Webb
- 2002
|
|
1
|
Discretization Methods with Back-tracking
– Hung Son Nguyen, Sinh Hoa Nguyen
- 1997
|
