82 search results - page 11 / 17 » Lookahead-based algorithms for anytime induction of decision... |
IDA
2005
Springer
14 years 1 months ago
2005
Springer
Inducing a classification function from a set of examples in the form of labeled instances is a standard problem in supervised machine learning. In this paper, we are concerned w...
ML
2000
ACM
13 years 7 months ago
2000
ACM
The naive Bayesian classifier provides a simple and effective approach to classifier learning, but its attribute independence assumption is often violated in the real world. A numb...
IFIP12
2008
13 years 9 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...
KDD
2000
ACM
13 years 11 months ago
2000
ACM
Many organizations today have more than very large databases; they have databases that grow without limit at a rate of several million records per day. Mining these continuous dat...
MLDM
2009
Springer
14 years 2 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...