78 search results - page 3 / 16 » Improvement of Decision Accuracy Using Discretization of Con... |
IDA
2000
Springer
13 years 6 months ago
2000
Springer
Conventional algorithms for decision tree induction use an attribute-value representation scheme for instances. This paper explores the empirical consequences of using set-valued ...
ICML
1999
IEEE
14 years 7 months ago
1999
IEEE
Before applying learning algorithms to datasets, practitioners often globally discretize any numeric attributes. If the algorithm cannot handle numeric attributes directly, prior ...
KDD
2006
ACM
14 years 6 months ago
2006
ACM
A new class of associations (polynomial itemsets and polynomial association rules) is presented which allows for discovering nonlinear relationships between numeric attributes wit...
MCS
2009
Springer
13 years 10 months ago
2009
Springer
Abstract. Data with multi-valued categorical attributes can cause major problems for decision trees. The high branching factor can lead to data fragmentation, where decisions have ...
KDD
2001
ACM
14 years 6 months ago
2001
ACM
Predictive models developed by applying Data Mining techniques are used to improve forecasting accuracy in the airline business. In order to maximize the revenue on a flight, the ...