19 search results - page 2 / 4 » Scalable Inductive Learning on Partitioned Data |
ILP
2004
Springer
13 years 11 months ago
2004
Springer
One challenge faced by many Inductive Logic Programming (ILP) systems is poor scalability to problems with large search spaces and many examples. Randomized search methods such as ...
MLDM
2009
Springer
14 years 2 days 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...
SAC
2006
ACM
13 years 11 months ago
2006
ACM
We propose a method for induction of compact optimal recommendation policies based on discovery of frequent itemsets in a purchase database, followed by the application of standar...
MLDM
2005
Springer
13 years 11 months ago
2005
Springer
In the context of large databases, data preparation takes a greater importance : instances and explanatory attributes have to be carefully selected. In supervised learning, instanc...
SAC
2009
ACM
14 years 10 days ago
2009
ACM
Decision trees are widely disseminated as an effective solution for classification tasks. Decision tree induction algorithms have some limitations though, due to the typical strat...