50 search results - page 1 / 10 » Induction of Modular Classification Rules: Using Jmax-prunin... |
SGAI
2010
Springer
13 years 2 months ago
2010
Springer
The Prism family of algorithms induces modular classification rules which, in contrast to decision tree induction algorithms, do not necessarily fit together into a decision tree s...
MLDM
2009
Springer
13 years 11 months ago
2009
Springer
In a world where massive amounts of data are recorded on a large scale we need data mining technologies to gain knowledge from the data in a reasonable time. The Top Down Induction...
IFIP12
2008
13 years 6 months ago
2008
Top Down Induction of Decision Trees (TDIDT) is the most commonly used method of constructing a model from a dataset in the form of classification rules to classify previously unse...
SGAI
2007
Springer
13 years 11 months ago
2007
Springer
Induction of classification rules is one of the most important technologies in data mining. Most of the work in this field has concentrated on the Top Down Induction of Decision T...
ICTAI
1992
IEEE
13 years 9 months ago
1992
IEEE
This paper describes an approach being explored to improve the usefulness of machine learning techniques for generating classification rules for complex, real world data. The appr...