74 search results - page 3 / 15 » Learning in Dynamic Environments: Decision Trees for Data St... |
KDD
2009
ACM
14 years 2 months ago
2009
ACM
Learning from data streams is a research area of increasing importance. Nowadays, several stream learning algorithms have been developed. Most of them learn decision models that c...
ML
2010
ACM
13 years 8 months ago
2010
ACM
Abstract A dynamic programming algorithm for constructing optimal dyadic decision trees was recently introduced, analyzed, and shown to be very effective for low dimensional data ...
SAC
2009
ACM
14 years 4 months ago
2009
ACM
In the past years, the theory and practice of machine learning and data mining have been focused on static and finite data sets from where learning algorithms generate a static m...
SSPR
1998
Springer
14 years 2 months ago
1998
Springer
Properly addressing the discretization process of continuos valued features is an important problem during decision tree learning. This paper describes four multi-interval discreti...
KDD
2000
ACM
14 years 1 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...