132 search results - page 17 / 27 » Induction of Oblique Decision Trees |
DATAMINE
1999
13 years 8 months ago
1999
Abstract. One of the de ning challenges for the KDD research community is to enable inductive learning algorithms to mine very large databases. This paper summarizes, categorizes, ...
MLDM
2009
Springer
14 years 3 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...
SGAI
2009
Springer
14 years 3 months ago
2009
Springer
In a world where data is captured on a large scale the major challenge for data mining algorithms is to be able to scale up to large datasets. There are two main approaches to indu...
IFIP12
2008
13 years 10 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...
AIIDE
2006
13 years 10 months ago
2006
Affective reasoning holds great potential for interactive digital entertainment, education, and training. Incorporating affective reasoning into the decision-making capabilities o...