48 search results - page 2 / 10 » Mining Optimized Gain Rules for Numeric Attributes |
ACSW
2004
13 years 6 months ago
2004
Practical knowledge discovery is an iterative process. First, the experiences gained from one mining run are used to inform the parameter setting and the dataset and attribute sel...
PKDD
2009
Springer
13 years 11 months ago
2009
Springer
Subgroup discovery is a Knowledge Discovery task that aims at finding subgroups of a population with high generality and distributional unusualness. While several subgroup discove...
CEC
2007
IEEE
2007
IEEE
Mining association rules from databases with continuous attributes using genetic network programming
13 years 8 months ago
Most association rule mining algorithms make use of discretization algorithms for handling continuous attributes. Discretization is a process of transforming a continuous attribute...
DMIN
2006
13 years 6 months ago
2006
Discovering hidden patterns in large sets of workforce schedules to gain insight into the potential knowledge in workforce schedules are crucial to better understanding the workfor...
KDD
2006
ACM
14 years 5 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...