115 search results - page 8 / 23 » Decision Tree for Dynamic and Uncertain Data Streams |
PAKDD
1998
ACM
13 years 11 months ago
1998
ACM
Abstract. Approaches to data mining proposed so far are mainly symbolic decision trees and numerical feedforward neural networks methods. While decision trees give, in many cases, ...
IFSA
2007
Springer
14 years 1 months ago
2007
Springer
Abstract. Generally, there are two main streams of theories for studying uncertainties. One is probability theory and the other is fuzzy set theory. One of the basic ideas of fuzzy...
KDD
2007
ACM
14 years 8 months ago
2007
ACM
We present DL8, an exact algorithm for finding a decision tree that optimizes a ranking function under size, depth, accuracy and leaf constraints. Because the discovery of optimal...
CIS
2004
Springer
14 years 29 days ago
2004
Springer
Concept drifting in data streams often occurs unpredictably at any time. Currently many classification mining algorithms deal with this problem by using an incremental learning ap...
SSPR
1998
Springer
13 years 11 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...