17 search results - page 1 / 4 » Scaling Up Inductive Algorithms: An Overview |
KDD
1997
ACM
13 years 9 months ago
1997
ACM
DATAMINE
1999
13 years 4 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, ...
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...
CORR
2000
Springer
13 years 4 months ago
2000
Springer
When comparing inductive logic programming (ILP) and attribute-value learning techniques, there is a trade-off between expressive power and efficiency. Inductive logic programming ...
SGAI
2009
Springer
13 years 11 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...